Super Data Science: ML & AI Podcast with Jon Krohn
Ein Podcast von Jon Krohn
877 Folgen
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356: Working Remotely
Vom: 10.4.2020 -
355: DJ Patil on Harnessing the Power of Data Science Community
Vom: 8.4.2020 -
354: Negative Coefficients
Vom: 3.4.2020 -
353: How to Practice Human-Centric Data Science
Vom: 1.4.2020 -
352: History of Data Science - Part 5
Vom: 27.3.2020 -
351: Self-Starting In Data Science
Vom: 25.3.2020 -
350: Coronavirus
Vom: 20.3.2020 -
349: Human-in-the-Loop Algorithms in Retail
Vom: 19.3.2020 -
348: History of Data Science - Part 4
Vom: 13.3.2020 -
347: How To Tell Your Story For Career Success
Vom: 12.3.2020 -
346: My Top 5 Productivity Hacks
Vom: 6.3.2020 -
345: Machine Learning At Twitter
Vom: 5.3.2020 -
344: History of Data Science - Part 3
Vom: 28.2.2020 -
343: Career Jumpstarts through Data Science Retreat
Vom: 27.2.2020 -
342: History of Data Science - Part 2
Vom: 21.2.2020 -
341: Talking Robotics with Brandon Rohrer
Vom: 20.2.2020 -
340: History of Data Science - Part 1
Vom: 14.2.2020 -
339: The Power of Coaching
Vom: 13.2.2020 -
338: Too Many Photos
Vom: 7.2.2020 -
337: Hadley Wickham Talks Integration and Future of R and Python
Vom: 6.2.2020
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.
