Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episodio
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416: My Advice for Career Success
Pubblicato: 06/11/2020 -
415: Developing and Maintaining Your Technical and Soft Skills
Pubblicato: 05/11/2020 -
414: Needs vs. Wants
Pubblicato: 30/10/2020 -
413: Changing The World With Data
Pubblicato: 28/10/2020 -
412: Stand More - Sit Less
Pubblicato: 23/10/2020 -
411: Succeeding in Analytics by Thinking Outside the Data
Pubblicato: 21/10/2020 -
410: Communicate Your Needs
Pubblicato: 16/10/2020 -
409: Succeeding & Networking In The Virtual Space
Pubblicato: 14/10/2020 -
408: Meaning is Everything
Pubblicato: 09/10/2020 -
407: How to Encourage Diversity in Data Science
Pubblicato: 07/10/2020 -
406: Abandon Hope
Pubblicato: 02/10/2020 -
405: The Work of Quants and Data Scientists in the Financial Space
Pubblicato: 30/09/2020 -
404: The Narrative Arc in Storytelling
Pubblicato: 25/09/2020 -
403: Gamifying Your Data Science Work and Education
Pubblicato: 23/09/2020 -
402: Face Your Demons
Pubblicato: 18/09/2020 -
401: From Data Science Student to Professional
Pubblicato: 16/09/2020 -
400: Think Bigger
Pubblicato: 11/09/2020 -
399: Contributing to the Community of Data Scientists
Pubblicato: 09/09/2020 -
398: Emotional Burnout
Pubblicato: 04/09/2020 -
397: The Importance of Data Science Literacy
Pubblicato: 02/09/2020
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.
