Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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296: Who You Become
Publicat: 13.09.2019 -
295: A Deep Conversation About Tech & Life
Publicat: 11.09.2019 -
294: Perception of AI in Big Companies
Publicat: 06.09.2019 -
293: True Personalization Through Reinforcement Learning
Publicat: 04.09.2019 -
292: Introverts and Extroverts
Publicat: 30.08.2019 -
291: Changing the World With Theory & Data
Publicat: 28.08.2019 -
290: The Passion Paradox
Publicat: 23.08.2019 -
289: AI, Deepfakes and Call of Duty
Publicat: 21.08.2019 -
288: Love Yourself
Publicat: 16.08.2019 -
287: How To Be Social About Data Science
Publicat: 14.08.2019 -
286: Solitude Deprivation
Publicat: 09.08.2019 -
285: Bringing Dev & Diverse Communities Into Data Science
Publicat: 07.08.2019 -
284: Proximity is Power
Publicat: 02.08.2019 -
283: Getting The Most Out of Data With Gradient Boosting
Publicat: 31.07.2019 -
282: Learning Something New
Publicat: 26.07.2019 -
281: Futureproofing Your Digital Marketing Tactics
Publicat: 24.07.2019 -
280: Gap Year
Publicat: 19.07.2019 -
279: Embedding Data Science in Business
Publicat: 17.07.2019 -
278: Your Core Strength
Publicat: 12.07.2019 -
277: The New Age of Reason
Publicat: 10.07.2019
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.
