Super Data Science: ML & AI Podcast with Jon Krohn
En podkast av Jon Krohn
877 Episoder
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096: Bayes Theorem
Publisert: 13.10.2017 -
095: From Uber to Data Science – A Winner’s Journey
Publisert: 11.10.2017 -
094: The Power of Now
Publisert: 6.10.2017 -
093: Why Evolutionary Programming Machine Learning is Important
Publisert: 4.10.2017 -
092: Exponential Thinking
Publisert: 29.9.2017 -
091: Lessons From a Successful Career in Data Visualization
Publisert: 27.9.2017 -
090: Do What You Want
Publisert: 22.9.2017 -
089: Using Excel in Data Science and Life-Long Learning
Publisert: 20.9.2017 -
088: Fermi Questions
Publisert: 15.9.2017 -
087: Business Intelligence – The Role of Data Visualization
Publisert: 13.9.2017 -
086: Computer Vision
Publisert: 8.9.2017 -
085: The AI Revolution – What the Future Will Look Like
Publisert: 6.9.2017 -
084: Why I Became Vegetarian
Publisert: 1.9.2017 -
083: Leveraging Your Experience into Data Science
Publisert: 30.8.2017 -
082: Data Science Go
Publisert: 25.8.2017 -
081: Data Visualization & How to Freelance Your Passion
Publisert: 23.8.2017 -
080: Your Questions
Publisert: 19.8.2017 -
079: Reinforcement Learning - What You Need to Know
Publisert: 16.8.2017 -
078: Breaking Patterns
Publisert: 11.8.2017 -
077: Finding the Right Data Science Company That Best Fits You
Publisert: 9.8.2017
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.
