Super Data Science: ML & AI Podcast with Jon Krohn
A podcast by Jon Krohn
877 Episoade
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SDS 496: 2040: A Brain-Computer Interface Story
Publicat: 13.08.2021 -
SDS 495: Successful AI Projects and AI Startups
Publicat: 10.08.2021 -
SDS 494: How to Instantly Appreciate Being Alive
Publicat: 06.08.2021 -
SDS 493: Bringing Data to the People
Publicat: 03.08.2021 -
SDS 492: The World is Awful (and it's Never Been Better)
Publicat: 30.07.2021 -
SDS 491: R in Production
Publicat: 27.07.2021 -
SDS 490: Say No to Pie Charts
Publicat: 23.07.2021 -
SDS 489: Monetizing Machine Learning
Publicat: 20.07.2021 -
SDS 488: The Price of Your Attention
Publicat: 16.07.2021 -
SDS 487: Fixing Dirty Data
Publicat: 13.07.2021 -
SDS 486: The History of Calculus
Publicat: 09.07.2021 -
SDS 485: Financial Data Engineering
Publicat: 06.07.2021 -
SDS 484: Algorithm Aversion
Publicat: 02.07.2021 -
SDS 483: Setting Yourself Apart in Data Science Interviews
Publicat: 29.06.2021 -
SDS 482: The Continuous Calendar
Publicat: 25.06.2021 -
481: Performance Marketing Analytics
Publicat: 22.06.2021 -
480: Top Five Resume Tips
Publicat: 18.06.2021 -
479: Knowledge Graphs
Publicat: 15.06.2021 -
478: Five Keys to Success
Publicat: 11.06.2021 -
477: How to Thrive as an Early-Career Data Scientist
Publicat: 08.06.2021
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.
