Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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456: The Pomodoro Technique
Publicat: 26.03.2021 -
455: Legal Tech, Powered by Machine Learning
Publicat: 24.03.2021 -
454: The Staggering Pace of Progress Part 2
Publicat: 19.03.2021 -
453: Big Global Problems Worth Solving with Machine Learning
Publicat: 17.03.2021 -
452: The Staggering Pace of Progress
Publicat: 12.03.2021 -
451: Translating PhD Research into ML Applications
Publicat: 11.03.2021 -
450: Yoga Nidra
Publicat: 05.03.2021 -
449: Fairness in A.I.
Publicat: 04.03.2021 -
448: How to be a Data Science Leader
Publicat: 26.02.2021 -
447: Commercial ML Opportunities Lie Everywhere
Publicat: 25.02.2021 -
446: Getting Started in Machine Learning
Publicat: 19.02.2021 -
445: Conversational A.I.
Publicat: 18.02.2021 -
444: Future-Proofing Your Career
Publicat: 12.02.2021 -
443: The End of Jobs
Publicat: 11.02.2021 -
442: Data Science as an Atomic Habit
Publicat: 05.02.2021 -
441: Communicating Data Effectively
Publicat: 04.02.2021 -
440: MuZero: Learning Without Rules
Publicat: 29.01.2021 -
439: Deep Learning for Machine Vision
Publicat: 28.01.2021 -
438: Artificial General Intelligence
Publicat: 22.01.2021 -
437: Data Science at a World-Leading Hedge Fund
Publicat: 20.01.2021
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.
