Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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396: Five Job Hunting Tips
Udgivet: 28.8.2020 -
395: How to Tell Stories with Data
Udgivet: 26.8.2020 -
394: Teach It
Udgivet: 21.8.2020 -
393: The Importance of Keeping Science in Data Science
Udgivet: 19.8.2020 -
392: Start Your Own Morning Ritual
Udgivet: 14.8.2020 -
391: Data Science Campfire Tales with John Elder
Udgivet: 12.8.2020 -
390: Perception vs. Emotion
Udgivet: 7.8.2020 -
389: Becoming Good Enough: Jumpstarting Your Data Science Career
Udgivet: 5.8.2020 -
388: Get a Headhunter
Udgivet: 31.7.2020 -
387: Becoming a Data Science Leader
Udgivet: 29.7.2020 -
386: Cohort Analysis
Udgivet: 24.7.2020 -
385: Advanced Data Topics and People-Centered Data Science
Udgivet: 22.7.2020 -
384: 10 Tips to Become a Master Presenter
Udgivet: 17.7.2020 -
383: You're Not an Imposter, You're Learning: Data Science Journeys
Udgivet: 15.7.2020 -
382: Manage Cognitive Load in Data Science
Udgivet: 10.7.2020 -
381: How to Avoid Failing at Digital Transformation
Udgivet: 8.7.2020 -
380: Data Analyst vs. Data Scientist
Udgivet: 3.7.2020 -
379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path
Udgivet: 1.7.2020 -
378: Use Your Unconscious Mind
Udgivet: 26.6.2020 -
377: The Power of Women in STEM
Udgivet: 24.6.2020
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.
