The Minhaaj's Podcast
By minhaaj rehman
Minhaaj Podcast are Candid Conversations with Some of the Most Intelligent People. From Forbes and WSJ contributors, inventors, wall street bankers, Fintech experts, memory champions, neuroscientists, psychology veterans, FAANG employees and Youtube Educators, i have had the distinct pleasure to learn from these luminaries, for which i shall remain thankful, forever.
Prosthetic Hands with Aadeel Akhtar
Dr. Akhtar received his Ph.D. in Neuroscience and M.S. in Electrical & Computer Engineering from the University of Illinois at Urbana-Champaign in 2016. He received a B.S. in Biology in 2007 and M.S. in Computer Science in 2008 at Loyola University Chicago. His research is on motor control and sensory feedback for upper limb prostheses, and he has collaborations with the Bretl Research Group at Illinois, the Center for Bionic Medicine at the Shirley Ryan AbilityLab, the John Rogers Research Group at Northwestern University, and the Range of Motion Project in Guatemala and Ecuador. In 2021, he was named as one of MIT Technology Review’s top 35 Innovators Under 35 and America’s Top 50 Disruptors in Newsweek. 00:00 Intro 01:42 Multiarticulation of Prosthetic Hand, Finger Movements 03:10 Visiting Pakistan at 7 Years Old, Inspiration for Prosthetics 04:34 $75,000 vs $10,000 Hand, Cost Reduction & Accessibility 06:13 Sourcing Parts from China, Shenzen, Electronic Part Capital of the World 08:45 3D Printing of Hand and Distribution of locally vs imported Parts 11:00 Fixing Repair Problems for Imported Components from China, COVID 19 12:31 USB port, Bluetooth and Spiderman Web 16:56 Android/iOS App, AI&ML & Sensitivity Controller 18:50 From Research to Market, Tactile Feedback 24:15 Invasive Technology, Electrode Scarring & Partnerships 27:11 Cortical Implants & Future of BCIs for Humanity 31:39 Neuroscience Labs as Co-working Spaces 33:20 Guitar, Linkin Park & Mohawk 38:34 OpenAI and Rubic Cube vs Prosthetic Hand 49:16 Work in Ecuador & Inception of the Idea 52:39 3D Printing vs Manual Construction of Prosthetics - Robustness 01:04:31 Multimodel Neuroplasticity & Forced Interchangeability 01:10:06 Neuroscience of Parenting, Catch 22 01:14:00 Importance of Recognition & Thanking the Crew as a Leader 01:17:00 From $200 in account to Funding round and Medicare Approving Psyonic Hand 01:20:29 Going Global and Exploring New Markets 01:23:31 Infection Mitigation Design 01:29:06 Low Cost Competitors, KalArm by Makers Hive & Game Plan 01:36:33 Shoe Dog by Phil Knight and Power of Grit 01:40:40 Impact, Legacy & Fulfillment Guest Social Media Aadeel’s Profile: https://www.linkedin.com/in/aadeelakhtar/Perosnal Website: https://www.aadeelakhtar.com/Newsweek Coverage: https://www.newsweek.com/2021/12/24/americas-greatest-disruptors-medical-marvels-1659061.htmlMIT Innovators Coverage: https://www.technologyreview.com/innovator/aadeel-akhtar/ Follow us: Full Episodes Playlist link: https://bit.ly/3p2oWJA Clips Playlist link: https://bit.ly/3p0Qmzs Apple Podcasts: https://apple.co/3v0YZxV Google: https://bit.ly/3s5vDwc Spotify: https://spoti.fi/3H6jqf0 Who is Minhaaj? Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning. CONNECT WITH Minhaaj ✩ Website - https://bit.ly/3LMvwgT ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G ✩ Twitter - https://bit.ly/3v3t1RJ ✩ Facebook - https://bit.ly/3sV0XgE ✩ ResearchGate - https://bit.ly/3I6BvLu ✩ Linkedin - https://bit.ly/3v3FswQ ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO
March 14, 2022
Data Warehouse with Bill Inmon
William H. Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject-oriented, nonvolatile, integrated, time-variant collection of data in support of management's decisions. Compared with the approach of the other pioneering architect of data warehousing, Ralph Kimball, Inmon's approach is often characterized as a top-down approach. 00:00 Intro 01:17 From failed Golf Career to a Computing one 03:06 Originality, Patterns & Database Design 04:37 Punch Cards, Magnetic Tapes, Fortran, Cobalt & Bits in IBM 1401s 11:16 First Book with Arnie Barnett, First Conference & Peer Pressure from Vendors 14:26 Winning over Marketing & Sales People vs IT Departments 18:15 Rise & Fall of IBM, Arrogance, Rudeness & Apathetic Company 20:04 Prism Solutions & Early Days of Data Warehousing, Dormant Data & Textual ETL 30:20 Corporate Information Factory, DataMarts & ETL 32:00 Inmon vs Kimball Approach of Data Architecture, Good, Bad & the Worse 36:15 Data Reliability with Data Marts vs Centralised Data Warehouse 39:00 Staging Area in Kimball System vs Vetting the Data 41:00 Metadata, Beethoven & Importance of Metadata, 45:00 Prolific Writing, Family of Writers & Edgar Allan Poe. Hated Writing in College 48:51 Writing Course at Stanford, Fiction & Technical Communication 51:16 Fiction Published Work & Posthumous Publishing 57:03 ELT vs ETL, Data Needs Work. Computing Power and Data Transformation 01:01:31 Big Data, Data Creation Speed & Future of Data Warehousing 01:04:06 Textual ETL, MIT Symposium & Text Data Utilisation Algorithms, Medical Research & COVID 19 01:13:45 Transformers, NLP, Graph Learning & Unfair Criticism & Animosity 01:23:56 Dotcom Bubble, Gartner’s Hype Curve, Theranos and Deception 01:29:45 Venture Capitalists are not Smart People, they are Rich People. 01:35:31 Cloud Computing vs Local DWHs 01:38:06 Databricks vs Snowflake 01:42:03 Not a Book Reader, Carving your Own Path 01:45:56 Travelling to 59 Countries, Experiencing Culture & Interesting Interactions 01:50:00 From California to Colorado, Nature in the Rockies & Life Follow us: Full Episodes Playlist link: https://bit.ly/3p2oWJA Clips Playlist link: https://bit.ly/3p0Qmzs Apple Podcasts: https://apple.co/3v0YZxV Google: https://bit.ly/3s5vDwc Spotify: https://spoti.fi/3H6jqf0 Who is Minhaaj? Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning. CONNECT WITH Minhaaj ✩ Website - https://bit.ly/3LMvwgT ✩ Minhaaj Podcast - https://bit.ly/3H8MK4G ✩ Twitter - https://bit.ly/3v3t1RJ ✩ Facebook - https://bit.ly/3sV0XgE ✩ ResearchGate - https://bit.ly/3I6BvLu ✩ Linkedin - https://bit.ly/3v3FswQ ✩ Buy Me a Coffee (I love it!) - https://bit.ly/3JCMAnO
March 07, 2022
Building Data Teams & Culture - Lisa Cohen
Lisa Cohen is the Director of Data Science at Twitter and Formerly at Microsoft for 20 years. He holds a bachelor and a master in Applied Mathematics from Harvard and is one of the most influential women in Data Science and AI. 00:00 Intro 02:52 Harvard, Microsoft, and Twitter. From SE to Data Science 03:40 Work Culture at Microsoft, Bigger Picture & Customer First Paradigm 16:40 Working with Bill Gates, Satya Nadella, Leadership Lessons & Marty Kagan 19:30 Zoom Meetings, Productivity & Innovation, ‘Drive’ by Daniel Pink 23:13 Working Styles, Introversion vs Extraversion, 26:43 5-day Week, Focus and Scandinavian Productivity 28:50 The Great Resignation, Data Science Jobs, Networking for People who hate Networking 34:28 Twitter vs Everything else, Metaverse, Space Tourism, 36:50 Non-computing Backgrounds & Transition into Data Science 42:35 Azure’s Race with Amazon in Cloud Computing, OpenAI & First Mover Advantage 46:50 Softball & leadership, Azure Sharks & ‘Hit Refresh’ by Satya Nadella 51:16 Reid Hoffman, Naval Ravikanth & Inspirational Leaders 55:00 Roadblocks in Optimising Data Utilization for Creating Business Value 01:01:00 Data-Centric Models vs ML-Centric Models, Data Augmentation & Use Cases at Microsoft 01:04:04 NVIDIA GTC, Apple M!, Chip Shortage and repercussions for AI 01:08:49 Women in STEM, Mom Support Group & Women leaving STEM faster 01:17:06 Lessons for Leadership being a Parent. 01:20:25 Managing things as a Parent, Work Cycles & Productivity Marathon 01:21:00 Valedictorian Child, Being Elder Sibling, Work Ethics and Parents 01:25:30 Performance Expectation, Sibling Rivalry, Being a Role Model 01:27:19 Mentors and Best Advice 01:30:05 Jack Dorsey, Life, Legacy & Impact on Others yse083q3AKJv8eUnKDPK
November 19, 2021
Data Science Careers with Dhaval Patel - Codebasics Youtube
Dhaval Patel is a software & data engineer with more than 17 years of experience. He has been working as a data engineer for a Fintech giant Bloomberg LP (New York) as well as NVidia in the past. He teaches programming, machine learning, data science through YouTube channel CodeBasics which has 428K subscribers worldwide. 00:00 Intro 01:34 Autoimmune disease ‘Ulcerative colitis’, Life & Death Struggle, Back to Life 03:40 Mental Health, Steroids & Immune System 11:00 Planning Videos, Pedagogy & Smart People Problem 17:15 Working at Bloomberg, Bloomberg Trading Terminal & Exceptional Talent in Bloomberg 21:13 Career Tracks on Data Related Spectrum, Pathways for different Careers 25:16 Data Structure and Algorithms, Politics vs Equations, Eternity 28:20 ML vs Deterministic Programming, Time & Space complexity of the ML Models 30:37 Kaggle vs Real Life, Soft Skills for Engineers, Transition from Competitions to Industrial Use-cases 30:02 Litmus Test for Hiring Data Scientists, Continuous Engagement & Adaptability 42:35 Loss of Productivity by Lack of Communication Skills, Education System Deficiencies, How to Win Friends by Dale Carnegie 46:50 Death by PowerPoint, Simplicity & Walk vs Talk 49:51 Negotiating Salary, Action vs Motivation, Cellphone is a Distraction 57:35 Growing Vegetables, Joy of Gardening, Rural Childhood & GMO Food 01:01:40 Dhando Investor, Motel Business Monopoly by Patels, Software Engineering 01:04:04 Deep learning, C++ Back-propagation Algorithms, Nvidia Titan RTX GPUs, Amazon Stores Experience 01:08:49 Nvidia Broadcast Noise Cancellation Demonstration, Nvidia Card Filtering, CNNs and Edge Detection 01:16:06 BlackBox Models, ML-centric vs Data-Centric Models, 01:19:25 Natural Language Understanding, Yann Lecaun, Low Accuracy is NLP Models 01:21:18 Github AI Pairing, Data Structures & Future of Programming Languages 01:27:01 ETL pipelines & Distributed Computing Structures 01:30:00 FAST API, Beginner’s Tools, Pytorch vs TensorFlow, Improvements in Tensorflow 2.0 01:35:05 Programmers vs Normal People, Semantics of English vs Programming Languages, pd.read_csv 01:38:03 Nvidia GPU vs Apple M1 GPU, Hope for non-Nvidia Deep-learning, Google Colab 01:41:30 Google Pixel, Google Tensor Chips & Chip Shortages 01:44:00 Discord Community for Data Science, Mentorship & Abundance Mindset 01:49:00 Struggles, Battles, Hopelessness & Dysphonia
October 23, 2021
BCIs, Neuro Modulation and NeuroEthics with Harrison Canning
Harrison Canning is a student at the Rochester Institute of Technology in the School of Individualized Studies, Founder of The BCI Guys & Neurotechnology Exploration Team. He makes videos on his Youtube channel The BCI Guys and has designed his own degree centered around brain-computer interface technology (BA in Neurotechnology). The BCI Guys is a media company dedicated to removing the barrier to entry and increasing interest in the field of neurotechnology. It produces engaging, sensational, digestible, and informative content via YouTube, podcasts, and blog posts. Its aim is to lead the conversation around neurotechnology through a science-based approach and conveying what is possible, while also conveying the tremendous potential of brain-computer interface and neuromodulation technologies. 00:00 Intro 01:34 Assault, Concussion and Neurotech 06:01 Coping with Memory Loss, Mathematical Ability & Courage 12:50 Moral Support, SuperMoms & Hope 08:15 Bodysuits, Neuro diseases, Robotics & Boston Dynamics 10:48 Pros and Cons of invasive vs non-invasive Solutions, 1000 Brains Theory, Signal Amplification Issues 13:40 Lucid Dreams, Brain Wave Differences in Human Subjects, RIT Neurotech Research Lab 28:16 Accuracy for Apple Watches & Wearables and Size to Measurement Precision Ration 30:39 SpO2 Levels, Sleep and Stress levels, False Positives 33:32 Delta Waves, Meditation and Focus Research 37:30 Post-trauma Brain Rewiring, Man with Half a Brain, Machine Learning & Intent Prediction through Connectomes 43:10 NeoCortex in Humans vs Other Animal Species, Cons of Late Maturation of Cortex, Human Behavioral Biology 47:00 NeuroPharmacology vs NeuroModulation, Addiction & Jordan Peterson 50:00 Deep Brain Stimulation, Jaak Panksepp, Clinical trials on 2000 People, Controllable Neuro Modulation to Alleviate Pain 53:30 Number of Electrodes, Depression & Anxiety, Neuropathic Pain 56:10 Seizure Detection through AI, Brain Wave Patterns for Seizures, Chip Implants for Preventing them 58:30 Inspiring Mentor & Role Model 01:02:40 Neuroscience Starter Kit, Cost of Hypondyne Z vs OpenBCI , $499 EEG Cap 01:06:04 Neurotech Education Around the World. Neurotechx Latam, Nigerian Schools 01:10:02 Distributed Neurotech, Remote Patient Monitoring, Technology Exchange 01:14:50 Wernicke & Broca’s Area, Speech Restoration through ML & BrainGate 01:21:25 Motor vs Sensory Homunculus, Sense Substitution & Neuroplasticity 01:26:18 Predicting Human Activity based on Brain Waves, Jennifer Anniston Neuron & Dedicated Neurons 01:30:30 AGI, Recreation of Artificial Brain & Limbic System 01:36:00 Stereotypes as Dropout Regularisation, Racism, Xenophobia, Polarity 01:39:20 Icecream, Greasy Food, Music, Happiness, Sex & Rationality 01:42:00 Future of BCI Guys 01:27:30 Neuroethics, Facebook Whistleblower, Body Image, Culture, Society & Cognitive Enhancements
October 16, 2021
Pytorch Geometric with Matthias Fey
Matthias Fey is the creator of the Pytorch Geometric library and a postdoctoral researcher in deep learning at TU Dortmund Germany. He is a core contributor to the Open Graph Benchmark dataset initiative in collaboration with Stanford University Professor Jure Leskovec. 00:00 Intro 00:50 Pytorch Geometric Inception 02:57 Graph NNs vs CNNs, Transformers, RNNs 05:00 Implementation of GNNs as an extension of other ANNs 08:15 Image Synthesis from Textual Inputs as GNNs 10:48 Image classification Implementations on augmented Data in GNNs 13:40 Multimodal Data implementation in GNNs 16:25 Computational complexity of GNN Models 18:55 GNNAuto Scale Paper, Big Data Scalability 24:39 Open Graph Benchmark Dataset Initiative with Stanford, Jure Leskovec and Large Networks 30:14 PyG in production, Biology, Chemistry and Fraud Detection 33:10 Solving Cold Start Problem in Recommender Systems using GNNs 38:21 German Football League, Bundesliga & Playing in Best team of Worst League 41:54 Pytorch Geometric in ICLR and NeurIPS and rise in GNN-based papers 43:27 Intrusion Detection, Anomaly Detection, and Social Network Monitoring as GNN implementation 46:10 Raw data conversion to Graph format as Input in PyG 50:00 Boilerplate templates for PyG for Citizen Data Scientists 53:37 GUI for beginners and Get Started Wizards 56:43 AutoML for PyG and timeline for Tensorflow Version 01:02:40 Explainability concerns in PyG and GNNs in general 01:04:40 CSV files in PyG and Structured Data Explainability 01:06:32 Playing Bass, Octoberfest & 99 Red Balloons 01:09:50 Collaboration with Stanford, OGB & Core Team 01:15:25 Leaderboards on Benchmark Datasets at OGB Website, Arvix Dataset 01:17:11 Datasets from outside Stanford, Harvard, Facebook etc 01:19:00 Kaggle vs Self-owned Competition Platform 01:20:00 Deploying Arvix Model for Recommendation of Papers 01:22:40 Future Directions of Research 01:26:00 Collaborations, Jurgen Schmidthuber & Combined Research 01:27:30 Sharing Office with a Dog, 2 Rabbits and How to train Cats
October 09, 2021
Graph Neural Networks with Ankit Jain
Ankit is an experienced AI Researcher/Machine Learning Engineer who is passionate about using AI to build scalable machine learning products. In his 10 years of AI career, he has researched and deployed several state-of-the-art machine learning models which have impacted 100s of millions of users. Currently, He works as a senior research scientist at Facebook where he works on a variety of machine learning problems across different verticals. Previously, he was a researcher at Uber AI where he worked on application of deep learning methods to different problems ranging from food delivery, fraud detection to self-driving cars. He has been a featured speaker in many of the top AI conferences and universities like UC Berkeley, IIT Bombay and has published papers in several top conferences like Neurips, ICLR. Additionally, he has co-authored a book on machine learning titled TensorFlow Machine Learning Projects. He has undergraduate and graduate degrees from IIT Bombay (India) and UC Berkeley respectively. Outside of work, he enjoys running and has run several marathons. 00:00 Intro 00:17 IIT vs FAANG companies, Competition Anxiety 05:40 Work Load between India and US, Educational Culture 07:50. Uber Eats, Food Recommendation Systems and Graph Networks 11:00 Accuracy Matrices for Recommendation Systems 12:42 Weather as a predictor of Food Orders and Pizza Fad 15:48 Raquel Urtusun and Zoubin Gharamani, Autonomous Driving and Google Brain 17:30 Graph Learning in Computer Vision & Beating the Benchmarks 19:15 Latent Space Representations and Fraud Detection 21:30 Multimodal Data & Prediction Accuracy 23:20 Multimodal Graph Recommendation at Uber Eats 23:50 Post-Order Data Analysis for Uber Eats 27:30 Plugging out of Matrix and Marathon Running 31:44 Finding Collusion between Riders and Drivers with Graph Learning 35:40 Reward Sensitivity Analysis for Drivers in Uber through LSTM Networks 42:00 PyG 2.0, Jure Leskovec, and DeepGraph, Tensorflow Support 46:46 Pytorch vs Tensorflow, Scalability and ease of use. 52:10 Work at Facebook, End to End Experiments 55:19 Optimisation of Cross-functional Solutions for Multiple Teams 57:30 Content Understanding teams and Behaviour Prediction 59:50 Cold Start Problem and Representation Mapping 01:03:30 NeurIPS paper on Meta-Learning and Global Few-Shot Model 01:07:00 Experimentation Ambience at Facebook, Privacy and Data Mine 01:09:03 Cons of working at FAANG 01:10:20 High School Math Teacher as Inspiration and Mentoring Others 01:18:25 TensorFlow Book and Upcoming Blog 01:16:40 Working at Oil Rig in the Ocean Straight Out of College 01:20:08 Promises of AI and Benefits to Society at Large 01:25:50 Facebook accused of Polarisation, Manipulation and Racism 01:28:10 Revenue Models - Product vs Advertising 01:31:15 Metaverse and Long-term Goals 01:33:10 Facebook Ray-Ban Stories and Market for Smart Glasses 01:36:40 Possibility of Facebook OS for Facebook Hardware 01:38:00 LibraCoin & Moving Fast - Breaking Things at Facebook 01:39:09 Orkut vs Facebook - A case study on Superior Tech Stack 01:42:00 Careers in Data Science & How to Get into It 01:45:00 Irrelevance of College Degrees and Prestigious Universities as Pre-requisites 01:49:50 Decreasing Attention Span & Lack of Curiosity 01:54:40 Arranged Marriages & Shifting Relationship Trends
September 20, 2021
AI in Supply Chain and Economics of Logistics - Frank Corrigan
Francis Corrigan is Director of Decision Intelligence at Target Corporation. Embedded within the Global Supply Chain, Decision Intelligence combines data science with model thinking to help decision-makers solve problems. 00:00 Intro 01:21 Data Science applications in Logistics and Supply Chain, Cost and Performance trade-off 03:21 Amazon vs Target fulfillment Model, Owning vs Coordinating with Last Mile companies e.g. FedEx 08:36 Suez Canal Container Blockage, Fallback plan at Target 10:37 Predicting products to Stock in Bottle Neck Scenarios 12:42 Air Freight vs Sea Shipments Costs, Ideal vs Real World Deliveries 15:48 Lack of Good Data and Prediction Challenges 18:00 Managing Expectations as Head of Analytics, Importance of Communicating 20:11 Stakeholder Management & Data Science Newsletter 23:39 Technical and Non-technical Teams Coordination, Speed Reading 26:36 Data Stories and Visualizations 29:47 Reporting Pipelines vs Story Narration 31:37 Times Series, Prophet, Flourish and Hans Rosling 35:28 Economist turned Data Scientist, Embarrassment as Motivation 38:20 Lack of Practical Skills of Data Science at University 41:18 Employer’s Perspectives on Data Science Talent 45:24 What Causes Data Teams Failure 48:40 COVID 19 and Times Series Corruption, Anomaly Detection 56:15 Toilet Paper Demand Scenario, Commodity Pricing Alerts 59:50 Automating Alerts for Panic Situation 01:02:10 Pandemic as a Blessing for Digital Business, Exponential Growth Rates and Tuition Fee Reimbursement for Employees 01:06:06 Data as Decision Support System, Strategic Decision Indicators 01:08:08 Capital in 21st Century, Thomas Piketty and Free Markets 01:11:31 Failures of Capitalist Societies on Individual Front and Socialist Aversion of Wealth Generation 01:15:15 UBI, Interventions, and CEO to Lowest Paid Worker Ratio 01:18:25 Career Blunders and Regrets 01:22:12 Psychometric Tests for Intellect Filtering, Behavioral Stability and Creativity Trade-off 01:24:08 Target’s Epic Failure in Canada, What Data Science could have Prevented 01:25:08 Gameplan to Compete with Walmart and Amazon 01:28:00 Sarimax, Armiax and Volatility Management, Planning vs Forecasting 01:31:33 Deep NNs or Lack thereof, Explainability and Monte Carlo as Alternative 01:34:00 Model Parsimony in Times Series, Baseline Models in Excel 01:37:50 R vs Python, Specific Use Cases 01:40:25 Delegating and Element of Trust 01:43:20 Time and Space Complexity of Models, Netflix and Deployments at Target 01:46:00 Political Impacts on Shipments, Narratives and Hypothesis Testing 01:48:00 Nate Silver, Nassem Talib, and Early Inspirations 01:52:05 Work-life Balance
August 21, 2021
Natural Language Understanding - Walid Saba
Walid S. Saba is the Founder and Principal AI Scientist at ONTOLOGIK.AI where he works on the development of Conversational AI. Prior to this, he was a PrincipalAI Scientist at Astound.ai and Co-Founder and the CTO of Klangoo. He also held various positions at such places as the American Institutes for Research, AT&TBell Labs, Metlife, IBM and Cognos, and has spent 7 years in academia where he taught computer science at the New Jersey Institute of Technology, theUniversity of Windsor, and the American University of Beirut (AUB). Dr. Saba is frequently an invited speaker at various organizations and is also frequently invited to various panels and podcasts that discuss issues related to AI and Natural Language Processing. He has published over 40 technical articles, including an award-winning paper that was presented at theGerman Artificial Intelligence Conference in 2008. Walid holds a BSc and an MSc in Computer Science as well as a Ph.D. in Computer Science (AI/NLP) which he obtained from Carleton University in 1999. 00:00 intro 01:00 Language as a mental construct, PAC, Subtext in Sentences 06:28 OpenAI’s Codex Platform, Below Human Baseline Performance of NLP 18:00 Comprehension vs Generation, Search vs Context 19:20 Sophia the Robot, Shallow ethics in AI and Commercialisation of Academia 27:40 Bad Research Papers, Facebook runaway train & AI Godfathers Cult. 32:30 AI leaders and Profiteering, Unethical Behaviour of Influencers. 37:50 Non-Verbal Component of Natural Language Understanding, Prosody and Accuracy Boost 41:33 Ontologik’s NLU Engine, Adjective Ordering Restriction Mystery 43:58 Ontological Structure and Chomsky’s Universal Grammar, Discovery vs Creation 45:31 Entity Extraction and How Ontologik’s Engine tackles this Problem 47:50 Language Agnostic Learning, Foreign Language Learning, and Pedagogy of Linguistics 54:00 First Language, Blank State and Missing Sounds in Some Languages 55:20 Real-time Language Translation Engines, AR/VR Aids and Commercial Utility 01:01:00 Sentiment Analysis, Language Policing & Censorship 01:04:00 Ontological Structures, Gender Bias and Situational Paradox 01:09:00 3 Foods for Rest of the Life & Fad Food Indulgence 01:11:00 Inspiration for Getting into the Field, Career Ideals & Cultural Influence 01:15:30 Epistemology, IQ and The Bell Curve 01:17:00 Einstein’s IQ, Haircut, Social Skills, and Success Rubric 01:22:00 Attracting Brilliant Talent Around the World, Ivy League PhDs & Standardised Testing 01:28:40 Unsupervised Learning, Accuracy & Comprehensibility in NLU 01:30:20 BF Skinner, Pavlovian Dogs, Skinner has been Skinned. 01:37:50 Human Behavioral Biology, Endocrinal System similarities with Humans yet they don’t learn Languages. 01:45:30 Language as an expression of Genetic differences, Big Five & Phenotype. 01:49:40 IBM Watson Personality Insights, Text-based personality Inferences. 01:55:30 Long Short Term Memory Issue in Ontologik’s Engine, Computational Complexity, Timeline for Release
August 13, 2021
China, Fintech, CDBC and BlockChain - Richard Turrin
Richard Turrin is an award-winning, dynamic Fintech expert with over 20 years of experience in leveraging new technology to drive revenue growth for market-leading companies. He writes, speaks, and consults on innovation and China because he learned about both the hard way. He headed four labs in banks responsible for financial product innovation and headed fintech operations in China. His best-selling books 'Cashless' and 'Innovation Excellence Lab' are some of the most recommended books on the topic. He has worked for IBM in senior roles and has been a professor at Hult International Business School. 00:00 intro 00:38 Financial Crisis of 90s and Arrival in Shangai 03:32 China, From Copycat to Innovator, WeChat and Mark Zuckerberg 08:42 Twelfth Five-Year Plan, Regulation of IT and China’s Gorbachev of Fintech 15:09 Crocodile in the Yangtze, Chinese’s Public-Private Partnership and Liberalisation 24:19 China’s Great Firewall, Invasion of Privacy and Uhygar Plight, Freedom as an Average Consumer 32:24 Central Bank Digital Currency, Blockchain and Version 2.0 42:00 Architecture of CDBC. Centralised, Decentralised or Distributed. Public or Private BlockChain 54:00 Challenges of International Adoption of China’s CDBC , US’s Exclusionary Policy and China’s Partnerships in Africa and Middle East 01:11:50 Losers in Chinese CDBC War, US and Allies, PayPal, Square, Stripe and Alipay 01:29:30 US Foreign Policy, Walk of Shame out of Afghanistan, Fiascos in Iraq and Vietnam and Lost Respect in International Community 01:39:50 China’s Innovation beats US by at least 5 Years, Repercussions of CDBC, Smart Contracts and Private Sector Trade 01:12:21 Inspiration in Life, Love of Books and Loss of Mother
July 09, 2021
Structural Equation Modelling in Information Sciences - James Gaskin
James Gaskin is a professor of Information Systems Management at Brigham Young University. 00:00 intro 07:00 Mismatch between Pedagogical Style and Student Needs 12:11 Behavioral Science and Structural Equation Modelling. 16:40 Cut-off scores in Model Acceptance in SEM 17:30 SEM on Big Data and Computational Intensity 20:14 Model Explanation in Academics vs Industry 21:16 Academic Trash Research Papers getting Published 23:35 Gerry-mandering of Data and Publishing Mafia 26:20 HTMT as Discriminant Validity Criteria and other Accuracy Metrics 28:20 Empirical vs Mathematical Convergence of Models and Compromise 29:51 Life as Gymnast and 31 Moves in Life, Japan, California and Malaysia 35:00 Failing High School and Relationship Stability 37:19 Data Scientist vs Academic Learning - Siloed Knowledge 49:39 Book ‘How to lie with Statistics’, John Perkins, Joseph Stiglitz and Political Manipulation of Data 44:22 Enron, Big Four and Cooking Books 47:26 Hedonist Motivation System, Pavlov’s Reinforcement and SEM 53:40 Futility of Research in Social Sciences and Remedy 55:40 Utrect University Abandons Citations for Hiring and Promotion of Faculty for Open Science 59:40 Work Path towards Ph.D in Australia. Practice vs Theory 01:03:00 Fixing the Academia and Failure. Video Journals for Research 01:07:49 Ratemyprofessor Score and Wrong Incentives for Teacher Rating 01:10:00 University Campus as Political Battlefields, Psychology and Conservatism 01:12:21 Dilemma of Academia vs Industry in Future 01:31:51 Favourite SEM software 01:17:40 Shortcomings of AMOS by IBM 01:19:36 Mediation and Moderation in Structural Models and Explainability 01:23:20 Dropout Regularisation, Second Generation Statistical Tools & Explainability 01:26:00 HC Moneyball and SEM for Understanding Dynamics 01:31:00 Path Analysis and Sales Data Modelling 01:532:41 Mediation and Moderation analysis and Prediction 01:37:40 The Invention Book and Mechanical Engineer 01:40:15 Daughters, Invention Book and Different temperaments 01:53:41 Mediation and Moderation analysis and Prediction
July 03, 2021
Low-Code Data Science Solutions and Business ROI - Ganes Kesari
This week I'll sit down with Ganes Kesari, Chief Decision Scientist at Gramener, the company behind Gramex and an innovative rising star. Ganes is a contributor in leading magazines such as Forbes, TechCrunch, Entrepreneur, and The Enterprisers Project. He won the 2020 CSuite Award for best blog by a business leader. He has taught at Princeton University and Indian Business School and has been invited to speak at TED, O'Reilly Strata, Microsoft, and Intel events. Timestamps 00:00 intro 03:04 Gaining Business Value from AI Initiative, Establishing Baselines 08:41 Human vs AI performance baseline, Long Term Benefits of AI 10:30 Netflix’s Recommendation Engine Competition, Failed ROI and Model Accuracy 15:40 GCP losses, Data and Model Drifts, Bulls Eye in a Moving Target 19:40 Data Maturity Assessment Tool, 5 Stage Roadmap 23:20 Logging in Personal Journal, 4 years, 120,000 data points. 25:40 From Siloed Modules to End to End Flow, Gramex Unified Architecture 29:30 Gramener Game Plan, Services vs Platform 34:28 Using ModelHandler to Furnish Realtime Business Visualizations 36:51 WorldBank Data Visualisation of Technology and Entrepreneurship Report, Data Story Component 42:33 Data Journalism at Guardian, Character and Plot Visualisation of Hindu Epic Saga Mahabharata, Shakespeare’s Sonnets, Hans Rosling and GapMinder 47:18 Airtel Contract Deals 49:51 IITs, IIMs, Geeks and Humor 54:22 Education in India, SAT scores and Path Ahead 58:50 Industry-Academic Partnerships and Practical Experience 01:03:00 AI Adoption Pain Points, Cybersecurity, Regulation, Fairness and Explainability 01:07:00 CNA Financial $40M ransom payment and AI Adoption Correlation 01:13:00 Increasing Bain & Company’s Net Promote Score for a Computer Manufacturer 01:20:19 Backing in Himalayas and Monastery in Bhutan 01:25:25 AI in Biodiversity, Rhinoceros, Penguins and Whale Shark as Endangered Species 01:30:01 Google Vertex AI, Alteryx, Knime vs Gramex, Future Strategy 01:35:30 Slidesense, Business Reports and Powerpoint Integration 01:39:26 Explaining DeepLearning to your Daughter, Whitehat Jr Scam 01:45:00 How Technology is changing Social Landscape 01:47:26 Chess Champion, Garry Kasparov and DeepBlue Game 01:51:30 Chess and IQ, Narrow Intelligence and Transferability 01:53:01 Tesla Killing Jaywalker and AI’s Mindless Application 01:55:00 G7 Summit 2020 and AI war between US & China 01:58:33 Smart Twins, Enterprise Mass Production & Gramex
June 19, 2021
Interpretable Machine Learning with Serg Masis
Serg Masis is the author of best-selling book 'Interpretable Machine Learning with Python' and senior Data Scientist at Sygenta. He has mentored many data scientists around the world. Timestamps: 00:00 intro 08:30 Old 4.77 MH z Computer, Late 80s and Programming 11:51 Fairness, Accountability and Transparency in Machine Learning, Startup and Harvard 16:33 Fairness vs Preciseness, Bias and Variance Tradeoff, Are Engineers to blame? 21:43 Mask-Detection Problem in Coded-Bias, Biased Samples, Surveillance using CV 32:38 Fixing Biased Datasets, Augmenting Data and Limitations 37:39 Algorithmic Optimisation and Explainability 40:51 Eric Schmidt on Behavioral Prediction, SHAP values, Tree and DeepExplainers 44:50 Challenges of using SHAP and LIME & Big Data 49:37 GPT3, Large Models and ROI on Explainability 01:00:00 TCAS, Collision Risks and Interpretability, Ransom Attacks 01:08:09 Guitar, Bass, and Led Zepplin 01:09:31 Birth Order and IQ, Science vs Folk Wisdom 01:13:30 Reverse Discrimination & Men, Bias in Child Custody, Prison Sentences, and Incarceration 01:23:11 Receidivism to Criminal Behaviour, Ethnic over-representation & Systematic Racism 01:24:44 Human Judges vs AI, Absolute Fairness, Food and Parole 01:30:20 Face Detection in China, Privacy vs Convenience, Feature Engineering and Model Parsimony 01:35:51 Sparsity, Interaction Effects, and Multicollinearity 01:38:23 Four levels of Global and Local Predictive Explainability 01:43:17 Recursive and Sequential Feature Selection 01:47:42 Ensemble, Blended and Stacked Models and Interpretability 01:53:45 In-Processing and Post-Processing Bias Mitigation 01:57:00 Future of Interpretable AI
May 15, 2021
Business Psychology, Personality Assessments and Data Science with Ryne Sherman
Ryne Sherman is Chief Science Officer of Hogans Assessments and Podcast Host of Hogan's Podcast. He was a Professor of Psychological Sciences at Florida Atlantic University before that. TimeStamps: 00:00 intro 01:42 Personality Portraits, Big Five, Self vs Other Reports 03:53 Trait Identification, Talent Hunting and Reputation-based Prediction 06:07 Adult Variations in Personality, High School Screening and Stability of Profile 08:03 Personality Profile of Trump Supporters and Shard Psychographics 11:40 Core Beliefs and Values as Predictors, Politics and Economic Stimulus 16:01 Psychometric Theory vs Pop Psychology, Response Patterns and Behavioral Predictions 19:11 From Archetypes to Oedipus complex, Reliability and Validity of Hogan Assessments 22:37 Machine Learning, AI and Personality Predictions, Ensemble Models 26:11 Algorithmic Explainability in Assessment Data, Avoiding Blackbox NNs 29:02 Career Development, Executive Recruiting and Personality Plasticity 32:00 Department transfers, Perceived Image and Reputation Awareness 33:51 Childhood, Boy Scout and High School 35:24 Birth Order and Research on Effects on Personality 37:00 Dark Side of Personality, Attention Craving and Workplace Problems 39:52 Explaining Personality Reports and Failed Predictions
May 11, 2021
Neurophysiology and Human Computer Interaction with Greg Gage
Greg Gage is the co-founder and CEO of Backyard Brains, an organization that develops open-source tools that allow amateurs and students to participate in neural discovery. Greg is an NIH-award-winning neuroscientist with 9 popular TED Talks and dozens of peer-reviewed publications. Greg is a Senior Fellow at TED and the recipient of the White House Champion of Change from Barack Obama award for his commitment to citizen science. Greg Gage 00:00 intro 02:28 Graduate Work to Brain Interface Company 20:40 Neuralink, EMG and Cyborgs 28:57 Electrode Scarring, Heart Stunts and Neural Engineering 09:40 Neuronal Activation for Behavioral Activations in Monkeys 38:39 Behaviorism, Experimental Psychology and Implications 40:41 Recreation of Memories through Artificial Hippocampus 41:40 Neural Network-based Prosthetics for Limb Amputees 46:50 AI bot Sofia, Facial Nerves in Robots for Emotive Abilities 51:44 Big Five, Personality Traits, Neurophysiology & Predicting Divorce 57:41 Mental Disorders and Wearable Tech 01:01:04 Surveys, Behavioral Data and Neuroscience 01:04:00 Neuroscience in Schools and Expansion to Developing World 01:16:00 Work with LEXUS designing Autonomous Car Experience, Children and Science 01:12:30 Community Work, Silicon Valley and Work Culture 01:20:00 RoboRoach, Flint Michigan and Joy of Learning
April 30, 2021
Digital Consciousness and Behavioral Science with Fabio Pereira
April 10, 2021
Quantitative Investing with Vivek Viswanathan
Vivek Viswanathan, is Global Head of Research at Rayliant Global Advisors founded by the brilliant, Jason Hsu (managed $145 Billion). Rayliant Quantamental China Equity ETF is a $22 Billion active portfolio employing a systematic approach to harvesting behavioral alpha by exploiting mispricings among Chinese stocks traded in markets around the world. We will be talking about Archegos, GameStop, Chinese Market and Algorithmic Trade, and much more. Don't miss this one! # Vivek 00:00 intro 00:47 Fundamentals of Stock Investment 05:16 Blind Optimism, FOMO and Psychology of Investment 09:30 Quant Investing, Fundamental and Technical Analysis and Returns 15:40 Sentiment Analysis, Seasonality, Mean Reversal and Trend Signals 20:21 Survivorship Bias, Different Types and Remedy 24:07 Python, Automation, Risk and Retail Investors 31:27 Tech Stocks, Stability and Long-term Returns 34:08 Daniel Kahneman, Psychological Biases and Behavioral Economics 35:22 Tech Fatigue, Eye Strain and Productivity 40:13 Work from Home, Corporate Taxes and Universal Basic Income 45:38 McCarthyism, Socialism and Communism 49:30 Ernest Chang, PhD in Finance to become Quant Investor 52:22 Necessity of a Ph.D, Social Credentialing, Education System and Misplaced Rewards 01:02:40 Coursera IPO, Self-Learning and On-Job Training 01:05:16 Chinese Stock Markets, 2015 Crash, Regulation and Corruption 01:16:57 Why invest in Chinese ETFs, Inefficient Markets and Diversification 01:24:06 Trade Wars between US and China, Alaska Summit, Semiconductor Shortage 01:28:20 Archegos, Theranos, Wirecard, Enron and Stock Market Scams 01:33:20 Nissan Scandal, Arthur Anderson, Big Four and Abetting the Scammers 01:38:30 Rayliant Global Advisors, Jason Hsu and Learning the Trade 01:41:10 Blackbox of Neural Networks, Expected Returns Signals and Explainability 01:44:45 Linear and Non-linear Patterns, Weighted Averages and Decomposition of Reasons 01:47:28 Books, Dhando Investor, Intelligent Investor and Medallion Fund 01:53:18 Work Related Stress, 100 hour week at JP Morgan, Gym and Diet 01:57:10 Protein Intake, Keto and Vegetarianism 02:02:02 Cardio, Glycogen and Oxygen Levels in Blood
April 02, 2021
Big Data, AI and Health Care with Prashant Natarajan VP H20.ai
Prashant Natarajan is the Vice President of H20.ai Health and Life Sciences division with a record of turning things around at Siemens Oracle Deloitte Unum. He is a Co-Faculty Instructor at Stanford University, author of numerous best-selling books e.g. “Demystifying Big Data & Machine Learning for Healthcare,” published by Taylor & Francis. His latest book is on its way " Demystifying Artificial Intelligence for the Enterprise: Building Tomorrow’s Self-Driving Organization (upcoming 2021)".
March 27, 2021
Remote Work with Wayne Turmel
For 25 years, Wayne Turmel has been obsessed with how people communicate at work. For the last 15, he’s focused on communicating through technology. He is a co-founder of the Remote Leadership Institute (www.RemoteLeadershipInstitute.com) , and author or co-author of 13 books including The Long-Distance Teammate, Stay Engaged and Connected While Working Anywhere, and The Long-Distance Leader, Rules for Remarkable Remote Leadership. He’s had the honor of working with clients around the globe. Originally from Canada, Wayne now lives and works in Las Vegas.
March 20, 2021
Bioinformatics with Chanin Nantasenamat aka Data Professor
On Friday, March 5th, I will be talking to one of the best data science mentors on Youtube, known for his work in bioinformatics and machine learning. His colorful infographics, succinct visualizations of the concepts, and depth of knowledge amaze every beginner in data science. Chanin Nantasenamat is also known as 'Data Professor', a name everyone knows if they have ever searched for 'data science' on youtube. He is the head of 'Center of Data Mining and Biomedical Informatics' at Mahidol University, Thailand, and an Associate Professor as well. He has held visiting professor positions at Uppsala University in Sweden and California State University and University of California in US. He has been the principal investigator of grants worth millions of dollars and has received numerous awards for his teaching and research work. He has over 100 publications at the cutting-edge of bioinformatics. He has peer-reviewed in over 40 journals. Join us as we explore the boundaries of drug development and biotechnology and how data science and AI is helping us do that.
March 05, 2021
Neuroscience of Memory with Dr Boris Konrad
Up next on Psyda Podcast is Dr Boris Nikolai Konrad. He is 8x team world champion, holds 4x Guinness Book World records, holds a Ph.D. in Neuroscience from Max Planck Institute of Psychiatry and Ludwig-Maximilians-Universität München, has degrees in physics and computer sciences, and trains people in techniques like Method of Loci, Mnemonics and Mind Palace (explained in Sherlock & Netflix series 'Memory Games'). He is a TEDx speaker, appears on media regularly including Germany's super popular program 'The Brain', and shows in Chinese, Russian, Italian and Dutch Media. He is featured in BBC News, NPR, CNN, Psychology Today and DW among others. He is the author of the best-selling book 'It's all in your head' currently being translated to English. He currently works at the world-renowned center for Donders Institute for Brain, Cognition, and Behaviour in Nijmegen (Netherlands) exploring the depths of the human brain. Join us as we explore the the human brain.
March 03, 2021
Infonomics with Doug Laney
Probably one of the richest conversations I have had from a business perspective on Data Science, Infonomics, AI and Psychology of Patterns. Here are some of the key takeaways: 1. The Wall Street Journal quoted Doug Laney saying ‘ Its flummoxing that companies have better accounting for their office furniture than their information assets’. 2. United and American Airline’s third party valuation based on collateral customer loyalty data is 3-4 times more than their actual market cap. 3. ‘Kushim’ from Yuval Noah Harari’s book 'Sapiens', the first known human being was an accountant, which tells a lot about the importance of information. 4. Future disruptive technologies according to Gartner are DNA storage, Quantum Computing and Carbon Nanotubes. 5. Doug’s been a competitive tennis player and is now exploring pickle ball. Join our slack for more: https://launchpass.com/psyda
February 24, 2021
Psychometrics with Dr Okan Bulut
On Tuesday, February 16th,2021 I will be talking to one of the leading psychometricians Dr. Okan Bulut. He is a professor of Educational Psychology at the University of Alberta and has worked at premier institutions developing assessments at Pearson, PluralSight, and the American Institute of Research. He is the author of the book 'Handbook of educational measurement and psychometrics using R.'
February 17, 2021
ML at Amazon with Greg Coquillo
It was a true blast talking to Greg Coquillo. It is always a pleasure talking to such a good sport and insightful leader and he truly is Amazon material. Here are some of the highlights of our conversation: 1. The trick to coming out of college debt-free is to go to a community college first. 2. Gamestop has really changed the world for the better. 3. Greg would invent the internet if given a chance to time travel back. 4. Bitcoin is still a big no for Greg Coquillo’s investments 5. Amazon is here to stay despite Alibaba, Azure, and Google Cloud. 6. Japanese Wasabi sauce is the real thing. What we have is a watered-down version of that. 7. Sophie the robot still leaves much to desire for Greg. Step up the game Sophie.
February 07, 2021
Artificial Intelligence with Luis Serrano
On February 3rd, I talked to Zapata scientist, Dr. Luis Serrano, the author of the best-selling ‘Grokking Machine Learning’ book published by Manning Publications Co. He has worked at Google as a machine learning engineer, at Udacity as the head of AI content, and at Apple as a lead AI educator. He runs a popular YouTube channel where he explains machine learning in layperson terms.
February 03, 2021
PLSpredict with Dr Souyma Ray
Dr Soumya Ray is an Associate Professor, ISS, NTHU Director of Center for Service Innovation and Analytics in Taiwan.
February 03, 2021
PLS Structural Equation Modeling with Marko Sarstedt
Marko Sarstedt is a chaired professor of marketing at the Otto-von-Guericke-University Magdeburg (Germany) and an adjunct professor at Monash University Malaysia. His main research interest is the advancement of research methods to further the understanding of consumer behavior. His research has been published in Nature Human Behavior, Journal of Marketing Research, Journal of the Academy of Marketing Science, Multivariate Behavioral Research, Organizational Research Methods, MIS Quarterly etc
February 03, 2021
Tensorflow JS with Jason Mayes
Jason Mayes is a developer advocate at Google. He defines himself as a Hybrid Web Developer, Programmer, Technical Consultant, and Analyst, with a creative twist who loves to innovate, inspire, and simplify solutions
February 02, 2021
Emotional Psychology and HCI with Hakan Silfvernagel
What if AI could measure human emotions also and is sensitive to how we feel? How do we measure pain? Is data science able to predict human emotions with reasonable accuracy? Find out by joining my podcast with the world's leading AI in emotional psychology expert Hakan Silfvernagel from Miles AS Norway. Håkan holds a Master of Science degree in Electrical Engineering and in addition, he holds a Master’s degree in Leadership and Organizational behavior.
February 02, 2021
NLP with Vance Stevens
Tools like Grammarly, Ref n Write and Scholarcy are all outcome of Natural Language Processing and helps in writing academic papers that are of high quality. On December 6th, i'll be talking to expert in computer assisted language teaching Vance Stevens. Vance has trained pilots in UAE and has spent 40 years working around the world teaching English using cutting edge technologies as SecondLife. We will be discussing issues like academic writing and modern day tools for intelligent research.
February 02, 2021
Neural Networks with Josh Starmer
This weekend I am talking with the CEO of StatQuest and YouTube celebrity, Dr. Josh Stramer from StatQuest. Dr. Josh Starmer has been an assistant professor at Chapel Hill, University of North Carolina and his fame comes from his visualization of statistical concepts. He has recently launched his Neural Networks series which has immensely become popular. We'll be talking about his neural network series.
February 02, 2021
Personality Psychology with Dr Alex Christensen
On January 15th, 2021 I talked to my colleague and one of the most prolific researchers in personality psychology Dr. Alex Christensen about how the understanding self can be a window into self-growth. Alex is also creating, maintaining, and co-authoring several R packages: EGAnet, NetworkToolbox, SemNeT, SemNetCleaner, and SemNetDictionaires.
February 02, 2021
Data Science with Giovanna & Thom
Dr Thom Ives, Ph.D. is the founder of UL, and Giovanna-Reggina Galleno-Malaga is a community builder in Data Science and Machine learning domains.
February 01, 2021
Extreme Medicine with Mark Hannaford
Mark Hannaford is an honorary associate professor awarded for his work in Extreme Medicine by the University of Exeter Medical School and is the founding director of World Extreme Medicine, an International Fellow of the prestigious New York-based Explorers Club, and Fellow of both the Royal Geographical Society and the Royal Society of Arts. He founded an Msc Program in Extreme Medicine at Exeter University. The UK.
February 01, 2021