Super Data Science: ML & AI Podcast with Jon Krohn
Podcast autorstwa Jon Krohn
877 Odcinki
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476: Peer-Driven Learning
Opublikowany: 4.06.2021 -
475: The 20% of Analytics Driving 80% of ROI
Opublikowany: 1.06.2021 -
474: The Machine Learning House
Opublikowany: 28.05.2021 -
473: Machine Learning at NVIDIA
Opublikowany: 25.05.2021 -
472: The Learning Never Stops (so Relax)
Opublikowany: 21.05.2021 -
471: 99 Days to Your First Data Science Job
Opublikowany: 18.05.2021 -
470: My Favorite Books
Opublikowany: 14.05.2021 -
469: Learning Deep Learning Together
Opublikowany: 11.05.2021 -
468: The History of Data
Opublikowany: 7.05.2021 -
467: High-Impact Data Science Made Easy
Opublikowany: 4.05.2021 -
466: Good vs. Great Data Scientists
Opublikowany: 30.04.2021 -
465: Analytics for Commercial and Personal Success
Opublikowany: 27.04.2021 -
464: A.I. vs Machine Learning vs Deep Learning
Opublikowany: 23.04.2021 -
463: Time Series Analysis
Opublikowany: 20.04.2021 -
462: It Could Be Even Better
Opublikowany: 16.04.2021 -
461: MLOps for Renewable Energy
Opublikowany: 14.04.2021 -
460: The History of Algebra
Opublikowany: 9.04.2021 -
459: Tackling Climate Change with ML
Opublikowany: 7.04.2021 -
458: Behind the Scenes
Opublikowany: 2.04.2021 -
457: Landing Your Data Science Dream Job
Opublikowany: 1.04.2021
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.
