Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episodes
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396: Five Job Hunting Tips
Published: 8/28/2020 -
395: How to Tell Stories with Data
Published: 8/26/2020 -
394: Teach It
Published: 8/21/2020 -
393: The Importance of Keeping Science in Data Science
Published: 8/19/2020 -
392: Start Your Own Morning Ritual
Published: 8/14/2020 -
391: Data Science Campfire Tales with John Elder
Published: 8/12/2020 -
390: Perception vs. Emotion
Published: 8/7/2020 -
389: Becoming Good Enough: Jumpstarting Your Data Science Career
Published: 8/5/2020 -
388: Get a Headhunter
Published: 7/31/2020 -
387: Becoming a Data Science Leader
Published: 7/29/2020 -
386: Cohort Analysis
Published: 7/24/2020 -
385: Advanced Data Topics and People-Centered Data Science
Published: 7/22/2020 -
384: 10 Tips to Become a Master Presenter
Published: 7/17/2020 -
383: You're Not an Imposter, You're Learning: Data Science Journeys
Published: 7/15/2020 -
382: Manage Cognitive Load in Data Science
Published: 7/10/2020 -
381: How to Avoid Failing at Digital Transformation
Published: 7/8/2020 -
380: Data Analyst vs. Data Scientist
Published: 7/3/2020 -
379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path
Published: 7/1/2020 -
378: Use Your Unconscious Mind
Published: 6/26/2020 -
377: The Power of Women in STEM
Published: 6/24/2020
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.