关于这个播客 🔗
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
Join the conversation and send feedback on Twitter @rapidsai
更新频率:
every 19 days
平均音频长度:
38 minutes
英语
美国
15 集
自从 2020年12月8日
episodic
最新一集 🔗
I talk with Sam Moss and Cameron Weinert about using data science to predict college football. We talk about feature engineering, following your passing, the role of analytics in sports and sports fandom, how to be an intelligent consumer of data science as a non-data scientist, and a lot more.&n...
以前的节目 🔗
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 ca...
This week we’re joined by Even Oldridge, Senior Manager, RecSys Platform Team at NVIDIA. We talk about Tabular Deep Learning, NVMerlin, how bookstores aren’t like recommender systems, his team’s recent repeat win in the ACM Recsys Challenge, the future of recommender systems and more.
NVIDIA Mer...
We talk with 4-time Kaggle winner Christof Henkel about how he got started in Kaggle, important skills for Kaggle success, his most memorable contests, his most recent victory, how an alien radio signal is like a bird call, climbing at the 2021 Olympics, and much more!
Christof's Kaggle Pr...
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
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 ...
I talk with Zahra Ronaghi, Engineering Manager of AI Infrastructure at NVIDIA and Christoph Keller, Atmospheric Chemist with the NASA Goddard Space Flight Center about their collaboration to bring GPU-accelerated data science to the study of air pollution.
You can find their first blog on the co...
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 futur...
This week I talk with John Murray. John has been a data scientist, a CTO, and a professor and has unique insight on the history of data science and where it is going. It’s a great episode and I hope you’ll enjoy!
Links described in the episode:
MurrayData on Github
Fusion Data Science
John’s ...
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 Py...
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