Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episodes
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296: Who You Become
Published: 9/13/2019 -
295: A Deep Conversation About Tech & Life
Published: 9/11/2019 -
294: Perception of AI in Big Companies
Published: 9/6/2019 -
293: True Personalization Through Reinforcement Learning
Published: 9/4/2019 -
292: Introverts and Extroverts
Published: 8/30/2019 -
291: Changing the World With Theory & Data
Published: 8/28/2019 -
290: The Passion Paradox
Published: 8/23/2019 -
289: AI, Deepfakes and Call of Duty
Published: 8/21/2019 -
288: Love Yourself
Published: 8/16/2019 -
287: How To Be Social About Data Science
Published: 8/14/2019 -
286: Solitude Deprivation
Published: 8/9/2019 -
285: Bringing Dev & Diverse Communities Into Data Science
Published: 8/7/2019 -
284: Proximity is Power
Published: 8/2/2019 -
283: Getting The Most Out of Data With Gradient Boosting
Published: 7/31/2019 -
282: Learning Something New
Published: 7/26/2019 -
281: Futureproofing Your Digital Marketing Tactics
Published: 7/24/2019 -
280: Gap Year
Published: 7/19/2019 -
279: Embedding Data Science in Business
Published: 7/17/2019 -
278: Your Core Strength
Published: 7/12/2019 -
277: The New Age of Reason
Published: 7/10/2019
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.