Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episodio
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476: Peer-Driven Learning
Pubblicato: 04/06/2021 -
475: The 20% of Analytics Driving 80% of ROI
Pubblicato: 01/06/2021 -
474: The Machine Learning House
Pubblicato: 28/05/2021 -
473: Machine Learning at NVIDIA
Pubblicato: 25/05/2021 -
472: The Learning Never Stops (so Relax)
Pubblicato: 21/05/2021 -
471: 99 Days to Your First Data Science Job
Pubblicato: 18/05/2021 -
470: My Favorite Books
Pubblicato: 14/05/2021 -
469: Learning Deep Learning Together
Pubblicato: 11/05/2021 -
468: The History of Data
Pubblicato: 07/05/2021 -
467: High-Impact Data Science Made Easy
Pubblicato: 04/05/2021 -
466: Good vs. Great Data Scientists
Pubblicato: 30/04/2021 -
465: Analytics for Commercial and Personal Success
Pubblicato: 27/04/2021 -
464: A.I. vs Machine Learning vs Deep Learning
Pubblicato: 23/04/2021 -
463: Time Series Analysis
Pubblicato: 20/04/2021 -
462: It Could Be Even Better
Pubblicato: 16/04/2021 -
461: MLOps for Renewable Energy
Pubblicato: 14/04/2021 -
460: The History of Algebra
Pubblicato: 09/04/2021 -
459: Tackling Climate Change with ML
Pubblicato: 07/04/2021 -
458: Behind the Scenes
Pubblicato: 02/04/2021 -
457: Landing Your Data Science Dream Job
Pubblicato: 01/04/2021
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
