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