Super Data Science: ML & AI Podcast with Jon Krohn
Ein Podcast von Jon Krohn
877 Folgen
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456: The Pomodoro Technique
Vom: 26.3.2021 -
455: Legal Tech, Powered by Machine Learning
Vom: 24.3.2021 -
454: The Staggering Pace of Progress Part 2
Vom: 19.3.2021 -
453: Big Global Problems Worth Solving with Machine Learning
Vom: 17.3.2021 -
452: The Staggering Pace of Progress
Vom: 12.3.2021 -
451: Translating PhD Research into ML Applications
Vom: 11.3.2021 -
450: Yoga Nidra
Vom: 5.3.2021 -
449: Fairness in A.I.
Vom: 4.3.2021 -
448: How to be a Data Science Leader
Vom: 26.2.2021 -
447: Commercial ML Opportunities Lie Everywhere
Vom: 25.2.2021 -
446: Getting Started in Machine Learning
Vom: 19.2.2021 -
445: Conversational A.I.
Vom: 18.2.2021 -
444: Future-Proofing Your Career
Vom: 12.2.2021 -
443: The End of Jobs
Vom: 11.2.2021 -
442: Data Science as an Atomic Habit
Vom: 5.2.2021 -
441: Communicating Data Effectively
Vom: 4.2.2021 -
440: MuZero: Learning Without Rules
Vom: 29.1.2021 -
439: Deep Learning for Machine Vision
Vom: 28.1.2021 -
438: Artificial General Intelligence
Vom: 22.1.2021 -
437: Data Science at a World-Leading Hedge Fund
Vom: 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.