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RAPIDSFire

RAPIDSFire

By RAPIDS

Follow the RAPIDSFire podcast for a fresh take on data science. Hear from revolutionaries transforming data science on GPUs for scientific research, higher education, and the broader enterprise. Talks with open-source software maintainers, Kaggle grandmasters, practitioners, CUDA experts and many others keep you up-to-date on the most exciting developments. Let's discuss how to make your work better and faster. Hosted by Data Scientist Paul Mahler.

Join the conversation and send feedback on Twitter @rapidsai
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Currently playing episode

Data Visualization at Scale with Allan Enemark and Bryan Van de Ven

RAPIDSFireFeb 09, 2021

00:00
39:14
RAPIDSFire Sports Spectacular 1 - Sam Moss and Cameron Weinert of Every Day is Saturday
Oct 14, 202145:54
Marlene Mhangami on Python, Pivots, and Personal Growth (and RAPIDS on Windows)

Marlene Mhangami on Python, Pivots, and Personal Growth (and RAPIDS on Windows)

We talk with Marlene Mhangami, a director and chair of the Python Software Foundation, co-founder of coding education non-profit ZimboPy, someone that took a huge career pivot from pre-med to software engineering, and one of the folks that helped bring RAPIDS to Windows. We talk about changing careers, creativity and confidence in tech, and of course RAPIDS on Windows. 


Marlene's home page
https://marlenemhangami.com/

Marlene's blog post about RAPIDS on Windows
https://medium.com/rapids-ai/running-rapids-on-microsoft-windows-10-using-wsl-2-the-windows-subsystem-for-linux-c5cbb2c56e04

Tutorial on using RAPIDS on Windows via WSL2
https://www.youtube.com/watch?v=jnEd3IDsF-I

ZimboPy on github
https://github.com/ZimboPy

Oct 05, 202138:20
Even Oldridge on Tabular Deep Learning and the Future of Recommender Systems
Sep 08, 202142:09
Way of the Grandmaster 2 with Christof Henkel
Aug 26, 202138:07
Way of the Grandmaster with Chris Deotte

Way of the Grandmaster with Chris Deotte

We sit down and talk with 4x Kaggle Grandmaster Chris Deotte about his career, how he got started doing Kaggle, how you can get started doing Kaggle, feature engineering, the perks of AGI, and a lot more! 


Chris on Kaggle: https://www.kaggle.com/cdeotte

Aug 05, 202146:09
Data Science, Social Science, and the Near Future of RAPIDS with John Zedlewski

Data Science, Social Science, and the Near Future of RAPIDS with John Zedlewski

I sit down and talk with the new Director of Engineering for RAPIDS at NVIDIA, John Zedlewski about what economics can learn from machine learning practitioners, engineering challenges that ended up being harder than first thought, how increased automation will change the day-to-day work of data scientists, and much more. 

Jul 08, 202133:43
Simulating large-scale numerical models in natural science with Zahra Ronaghi and Christoph Keller
Jun 25, 202137:42
Community, Whisky, Fitness, and Data Science with Jim Scott

Community, Whisky, Fitness, and Data Science with Jim Scott

On this week’s episode, we have NVIDIA’s Head of Developer Relations, Data Science, Jim Scott. We talk about the data science of fine whiskey, data science for fitness, the “secret” of Kaggle Grand Masters (spoiler: it’s giving back to the community), learning and community resources as the future of data science, classic “paradoxes” in basic probability, and some great resources for being a better data scientist.

Kaggle Grandmaster Youtube Interviews - Here’s the most recent sit down Jim did with the Kaggle Grand Masters of NVIDIA. https://www.youtube.com/watch?v=bHuww-l_Sq0

Data Science of the Day - we talk about this toward the end of the episode, and this is a GREAT resource to keep up-to-date with everything going on in data science. https://forums.developer.nvidia.com/c/ai-data-science/data-science-of-the-day/323/none

Jim on Twitter: https://twitter.com/kingmesal

Jim and I reminisce about the Birthday Paradox - here’s a good piece on it from Scientific American. Jim and I were way off on remembering how likely birthday sharing is in a small handful of people. https://www.scientificamerican.com/article/bring-science-home-probability-birthday-paradox/

Don’t let us get your goat talking about the Monty Hall Problem. This explainer shows how an example with a larger number of doors can help give more intuition about what’s actually happening by changing your guess. https://www.statisticshowto.com/probability-and-statistics/monty-hall-problem/

Cantor’s Diagonalization Theorem mentioned in passing. Here’s a link to the wikipedia article - if you aren’t familiar with it, you should check it out. https://en.wikipedia.org/wiki/Cantor%27s_diagonal_argument

Jun 10, 202131:23
Neural Nets, the History of Data Science, and Applied Spacial Analysis with John Murray
Mar 23, 202133:05
Pandas and Arrow with Wes McKinney

Pandas and Arrow with Wes McKinney

Our guest this week in the one and only Wes McKinney, creator of Pandas and Apache Arrow. We have a great conversation about his career journey, funding and maintaining open-source software projects, his new company Ursa Computing, how Pandas grew from a passion project to the lingua franca of Python data science, and a lot more. 

Feb 16, 202131:35
Data Visualization at Scale with Allan Enemark and Bryan Van de Ven

Data Visualization at Scale with Allan Enemark and Bryan Van de Ven

We sit down and talk with Allan Enemark, data viz lead for RAPIDS and Bryan Van de Ven, Senior Engineer and co-creator of Bokeh to talk about what GPUs are doing for the visualization of data sets across many different tools, and what the future holds for showing your audience what the data is saying. 


Links to things discussed in the episode:
Datashader
Plotly
HoloViz
Bokeh
Vis.gl
JupyterCon Tutorial - check it out! 
cuxfilter (pronounced "cu - crossfilter") - code on github

Twitter accounts to follow to keep your finger on the pulse of the latest in data viz:
https://twitter.com/DataVizSociety
https://twitter.com/jonmmease
https://twitter.com/AlbertoCairo
https://twitter.com/visualisingdata
https://twitter.com/Elijah_Meeks
https://twitter.com/viegasf
https://twitter.com/giorgialupi
https://twitter.com/flowingdata
https://twitter.com/infobeautiful

Feb 09, 202139:14
BlazingSQL with Felipe Aramburu and William Malpica
Jan 20, 202139:18
Artificial General Intelligence in Our Lifetimes with Rachel Allen
Jan 12, 202130:19
Cybersecurity Data Science with Rachel Allen and Bartley Richardson

Cybersecurity Data Science with Rachel Allen and Bartley Richardson

Join me as I talk with Rachel Allen and Bartley Richardson about applying data science to cybersecurity with GPUs and RAPIDS. We'll also talk in-depth about an amazing extension of the BERT transformer model: CyBERT, the pre-built GPU pipelines in CLX, a super fast GPU tokenizer, and what to expect from them next. 

The link to the repos discussed in the episode is here: https://github.com/rapidsai/clx

Jan 05, 202140:39
RAPIDSFire Episode One: The Birth of RAPIDS with Josh Patterson and Keith Kraus

RAPIDSFire Episode One: The Birth of RAPIDS with Josh Patterson and Keith Kraus

Welcome to the first episode of RAPIDSFire! My rotating cohost this week is Josh Patterson, Senior Director of Engineering at NVIDIA, and Keith Kraus, Systems Software Senior Manager at NVIDIA. These two gentlemen were driving forces behind RAPIDS from the very start, and this is an illuminating talk about GPU data science, open source software, and the past, present, and future of RAPIDS.  

Dec 08, 202041:57