Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episodes
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276: Data Science in Wealth Management
Published: 7/5/2019 -
275: Machine Learning Through Reinforcement & Contextual Bandits
Published: 7/3/2019 -
274: Ask the Right Question
Published: 6/28/2019 -
273: Predict, Prevent, Detect: Cyber Security
Published: 6/26/2019 -
272: Data Science in Energy
Published: 6/21/2019 -
271: Making the Public Graphically Literate
Published: 6/19/2019 -
270: The Cold is My Master
Published: 6/14/2019 -
269: Maximizing Advertising Efforts With Data
Published: 6/12/2019 -
268: Data Science in Insurance
Published: 6/7/2019 -
267: Achieving Data Science Maturity
Published: 6/5/2019 -
266: Exploration vs Exploitation
Published: 5/31/2019 -
265: Data Science in the World of Big Data
Published: 5/29/2019 -
264: Data Science in Agriculture
Published: 5/24/2019 -
263: Communicating Data
Published: 5/22/2019 -
262: You Cannot Make Progress Without a Routine
Published: 5/17/2019 -
261: Succeeding in Data Science with the Trichotomy of Control
Published: 5/15/2019 -
260: Data Science in Real Estate
Published: 5/10/2019 -
259: Building Machine Autonomy With Neural Networks
Published: 5/8/2019 -
258: Eating S.L.O.W.L.Y.
Published: 5/3/2019 -
257: AI: How Far We Haven’t Actually Come
Published: 5/1/2019
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.