Super Data Science: ML & AI Podcast with Jon Krohn
En podkast av Jon Krohn
877 Episoder
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416: My Advice for Career Success
Publisert: 6.11.2020 -
415: Developing and Maintaining Your Technical and Soft Skills
Publisert: 5.11.2020 -
414: Needs vs. Wants
Publisert: 30.10.2020 -
413: Changing The World With Data
Publisert: 28.10.2020 -
412: Stand More - Sit Less
Publisert: 23.10.2020 -
411: Succeeding in Analytics by Thinking Outside the Data
Publisert: 21.10.2020 -
410: Communicate Your Needs
Publisert: 16.10.2020 -
409: Succeeding & Networking In The Virtual Space
Publisert: 14.10.2020 -
408: Meaning is Everything
Publisert: 9.10.2020 -
407: How to Encourage Diversity in Data Science
Publisert: 7.10.2020 -
406: Abandon Hope
Publisert: 2.10.2020 -
405: The Work of Quants and Data Scientists in the Financial Space
Publisert: 30.9.2020 -
404: The Narrative Arc in Storytelling
Publisert: 25.9.2020 -
403: Gamifying Your Data Science Work and Education
Publisert: 23.9.2020 -
402: Face Your Demons
Publisert: 18.9.2020 -
401: From Data Science Student to Professional
Publisert: 16.9.2020 -
400: Think Bigger
Publisert: 11.9.2020 -
399: Contributing to the Community of Data Scientists
Publisert: 9.9.2020 -
398: Emotional Burnout
Publisert: 4.9.2020 -
397: The Importance of Data Science Literacy
Publisert: 2.9.2020
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.
