Super Data Science: ML & AI Podcast with Jon Krohn
Een podcast door Jon Krohn
877 Afleveringen
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476: Peer-Driven Learning
Gepubliceerd: 4-6-2021 -
475: The 20% of Analytics Driving 80% of ROI
Gepubliceerd: 1-6-2021 -
474: The Machine Learning House
Gepubliceerd: 28-5-2021 -
473: Machine Learning at NVIDIA
Gepubliceerd: 25-5-2021 -
472: The Learning Never Stops (so Relax)
Gepubliceerd: 21-5-2021 -
471: 99 Days to Your First Data Science Job
Gepubliceerd: 18-5-2021 -
470: My Favorite Books
Gepubliceerd: 14-5-2021 -
469: Learning Deep Learning Together
Gepubliceerd: 11-5-2021 -
468: The History of Data
Gepubliceerd: 7-5-2021 -
467: High-Impact Data Science Made Easy
Gepubliceerd: 4-5-2021 -
466: Good vs. Great Data Scientists
Gepubliceerd: 30-4-2021 -
465: Analytics for Commercial and Personal Success
Gepubliceerd: 27-4-2021 -
464: A.I. vs Machine Learning vs Deep Learning
Gepubliceerd: 23-4-2021 -
463: Time Series Analysis
Gepubliceerd: 20-4-2021 -
462: It Could Be Even Better
Gepubliceerd: 16-4-2021 -
461: MLOps for Renewable Energy
Gepubliceerd: 14-4-2021 -
460: The History of Algebra
Gepubliceerd: 9-4-2021 -
459: Tackling Climate Change with ML
Gepubliceerd: 7-4-2021 -
458: Behind the Scenes
Gepubliceerd: 2-4-2021 -
457: Landing Your Data Science Dream Job
Gepubliceerd: 1-4-2021
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.
