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