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