Super Data Science: ML & AI Podcast with Jon Krohn
Podcast autorstwa Jon Krohn
877 Odcinki
-
276: Data Science in Wealth Management
Opublikowany: 5.07.2019 -
275: Machine Learning Through Reinforcement & Contextual Bandits
Opublikowany: 3.07.2019 -
274: Ask the Right Question
Opublikowany: 28.06.2019 -
273: Predict, Prevent, Detect: Cyber Security
Opublikowany: 26.06.2019 -
272: Data Science in Energy
Opublikowany: 21.06.2019 -
271: Making the Public Graphically Literate
Opublikowany: 19.06.2019 -
270: The Cold is My Master
Opublikowany: 14.06.2019 -
269: Maximizing Advertising Efforts With Data
Opublikowany: 12.06.2019 -
268: Data Science in Insurance
Opublikowany: 7.06.2019 -
267: Achieving Data Science Maturity
Opublikowany: 5.06.2019 -
266: Exploration vs Exploitation
Opublikowany: 31.05.2019 -
265: Data Science in the World of Big Data
Opublikowany: 29.05.2019 -
264: Data Science in Agriculture
Opublikowany: 24.05.2019 -
263: Communicating Data
Opublikowany: 22.05.2019 -
262: You Cannot Make Progress Without a Routine
Opublikowany: 17.05.2019 -
261: Succeeding in Data Science with the Trichotomy of Control
Opublikowany: 15.05.2019 -
260: Data Science in Real Estate
Opublikowany: 10.05.2019 -
259: Building Machine Autonomy With Neural Networks
Opublikowany: 8.05.2019 -
258: Eating S.L.O.W.L.Y.
Opublikowany: 3.05.2019 -
257: AI: How Far We Haven’t Actually Come
Opublikowany: 1.05.2019
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.
