Super Data Science: ML & AI Podcast with Jon Krohn
Un pódcast de Jon Krohn
877 Episodo
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456: The Pomodoro Technique
Publicado: 26/3/2021 -
455: Legal Tech, Powered by Machine Learning
Publicado: 24/3/2021 -
454: The Staggering Pace of Progress Part 2
Publicado: 19/3/2021 -
453: Big Global Problems Worth Solving with Machine Learning
Publicado: 17/3/2021 -
452: The Staggering Pace of Progress
Publicado: 12/3/2021 -
451: Translating PhD Research into ML Applications
Publicado: 11/3/2021 -
450: Yoga Nidra
Publicado: 5/3/2021 -
449: Fairness in A.I.
Publicado: 4/3/2021 -
448: How to be a Data Science Leader
Publicado: 26/2/2021 -
447: Commercial ML Opportunities Lie Everywhere
Publicado: 25/2/2021 -
446: Getting Started in Machine Learning
Publicado: 19/2/2021 -
445: Conversational A.I.
Publicado: 18/2/2021 -
444: Future-Proofing Your Career
Publicado: 12/2/2021 -
443: The End of Jobs
Publicado: 11/2/2021 -
442: Data Science as an Atomic Habit
Publicado: 5/2/2021 -
441: Communicating Data Effectively
Publicado: 4/2/2021 -
440: MuZero: Learning Without Rules
Publicado: 29/1/2021 -
439: Deep Learning for Machine Vision
Publicado: 28/1/2021 -
438: Artificial General Intelligence
Publicado: 22/1/2021 -
437: Data Science at a World-Leading Hedge Fund
Publicado: 20/1/2021
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.