Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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296: Who You Become
Udgivet: 13.9.2019 -
295: A Deep Conversation About Tech & Life
Udgivet: 11.9.2019 -
294: Perception of AI in Big Companies
Udgivet: 6.9.2019 -
293: True Personalization Through Reinforcement Learning
Udgivet: 4.9.2019 -
292: Introverts and Extroverts
Udgivet: 30.8.2019 -
291: Changing the World With Theory & Data
Udgivet: 28.8.2019 -
290: The Passion Paradox
Udgivet: 23.8.2019 -
289: AI, Deepfakes and Call of Duty
Udgivet: 21.8.2019 -
288: Love Yourself
Udgivet: 16.8.2019 -
287: How To Be Social About Data Science
Udgivet: 14.8.2019 -
286: Solitude Deprivation
Udgivet: 9.8.2019 -
285: Bringing Dev & Diverse Communities Into Data Science
Udgivet: 7.8.2019 -
284: Proximity is Power
Udgivet: 2.8.2019 -
283: Getting The Most Out of Data With Gradient Boosting
Udgivet: 31.7.2019 -
282: Learning Something New
Udgivet: 26.7.2019 -
281: Futureproofing Your Digital Marketing Tactics
Udgivet: 24.7.2019 -
280: Gap Year
Udgivet: 19.7.2019 -
279: Embedding Data Science in Business
Udgivet: 17.7.2019 -
278: Your Core Strength
Udgivet: 12.7.2019 -
277: The New Age of Reason
Udgivet: 10.7.2019
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.
