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