Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episodes
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096: Bayes Theorem
Published: 10/13/2017 -
095: From Uber to Data Science – A Winner’s Journey
Published: 10/11/2017 -
094: The Power of Now
Published: 10/6/2017 -
093: Why Evolutionary Programming Machine Learning is Important
Published: 10/4/2017 -
092: Exponential Thinking
Published: 9/29/2017 -
091: Lessons From a Successful Career in Data Visualization
Published: 9/27/2017 -
090: Do What You Want
Published: 9/22/2017 -
089: Using Excel in Data Science and Life-Long Learning
Published: 9/20/2017 -
088: Fermi Questions
Published: 9/15/2017 -
087: Business Intelligence – The Role of Data Visualization
Published: 9/13/2017 -
086: Computer Vision
Published: 9/8/2017 -
085: The AI Revolution – What the Future Will Look Like
Published: 9/6/2017 -
084: Why I Became Vegetarian
Published: 9/1/2017 -
083: Leveraging Your Experience into Data Science
Published: 8/30/2017 -
082: Data Science Go
Published: 8/25/2017 -
081: Data Visualization & How to Freelance Your Passion
Published: 8/23/2017 -
080: Your Questions
Published: 8/19/2017 -
079: Reinforcement Learning - What You Need to Know
Published: 8/16/2017 -
078: Breaking Patterns
Published: 8/11/2017 -
077: Finding the Right Data Science Company That Best Fits You
Published: 8/9/2017
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.