Super Data Science: ML & AI Podcast with Jon Krohn
Ein Podcast von Jon Krohn
877 Folgen
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276: Data Science in Wealth Management
Vom: 5.7.2019 -
275: Machine Learning Through Reinforcement & Contextual Bandits
Vom: 3.7.2019 -
274: Ask the Right Question
Vom: 28.6.2019 -
273: Predict, Prevent, Detect: Cyber Security
Vom: 26.6.2019 -
272: Data Science in Energy
Vom: 21.6.2019 -
271: Making the Public Graphically Literate
Vom: 19.6.2019 -
270: The Cold is My Master
Vom: 14.6.2019 -
269: Maximizing Advertising Efforts With Data
Vom: 12.6.2019 -
268: Data Science in Insurance
Vom: 7.6.2019 -
267: Achieving Data Science Maturity
Vom: 5.6.2019 -
266: Exploration vs Exploitation
Vom: 31.5.2019 -
265: Data Science in the World of Big Data
Vom: 29.5.2019 -
264: Data Science in Agriculture
Vom: 24.5.2019 -
263: Communicating Data
Vom: 22.5.2019 -
262: You Cannot Make Progress Without a Routine
Vom: 17.5.2019 -
261: Succeeding in Data Science with the Trichotomy of Control
Vom: 15.5.2019 -
260: Data Science in Real Estate
Vom: 10.5.2019 -
259: Building Machine Autonomy With Neural Networks
Vom: 8.5.2019 -
258: Eating S.L.O.W.L.Y.
Vom: 3.5.2019 -
257: AI: How Far We Haven’t Actually Come
Vom: 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.
