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