Super Data Science: ML & AI Podcast with Jon Krohn
En podkast av Jon Krohn
877 Episoder
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276: Data Science in Wealth Management
Publisert: 5.7.2019 -
275: Machine Learning Through Reinforcement & Contextual Bandits
Publisert: 3.7.2019 -
274: Ask the Right Question
Publisert: 28.6.2019 -
273: Predict, Prevent, Detect: Cyber Security
Publisert: 26.6.2019 -
272: Data Science in Energy
Publisert: 21.6.2019 -
271: Making the Public Graphically Literate
Publisert: 19.6.2019 -
270: The Cold is My Master
Publisert: 14.6.2019 -
269: Maximizing Advertising Efforts With Data
Publisert: 12.6.2019 -
268: Data Science in Insurance
Publisert: 7.6.2019 -
267: Achieving Data Science Maturity
Publisert: 5.6.2019 -
266: Exploration vs Exploitation
Publisert: 31.5.2019 -
265: Data Science in the World of Big Data
Publisert: 29.5.2019 -
264: Data Science in Agriculture
Publisert: 24.5.2019 -
263: Communicating Data
Publisert: 22.5.2019 -
262: You Cannot Make Progress Without a Routine
Publisert: 17.5.2019 -
261: Succeeding in Data Science with the Trichotomy of Control
Publisert: 15.5.2019 -
260: Data Science in Real Estate
Publisert: 10.5.2019 -
259: Building Machine Autonomy With Neural Networks
Publisert: 8.5.2019 -
258: Eating S.L.O.W.L.Y.
Publisert: 3.5.2019 -
257: AI: How Far We Haven’t Actually Come
Publisert: 1.5.2019
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.
