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