Super Data Science: ML & AI Podcast with Jon Krohn
En podcast af Jon Krohn
877 Episoder
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SDS 496: 2040: A Brain-Computer Interface Story
Udgivet: 13.8.2021 -
SDS 495: Successful AI Projects and AI Startups
Udgivet: 10.8.2021 -
SDS 494: How to Instantly Appreciate Being Alive
Udgivet: 6.8.2021 -
SDS 493: Bringing Data to the People
Udgivet: 3.8.2021 -
SDS 492: The World is Awful (and it's Never Been Better)
Udgivet: 30.7.2021 -
SDS 491: R in Production
Udgivet: 27.7.2021 -
SDS 490: Say No to Pie Charts
Udgivet: 23.7.2021 -
SDS 489: Monetizing Machine Learning
Udgivet: 20.7.2021 -
SDS 488: The Price of Your Attention
Udgivet: 16.7.2021 -
SDS 487: Fixing Dirty Data
Udgivet: 13.7.2021 -
SDS 486: The History of Calculus
Udgivet: 9.7.2021 -
SDS 485: Financial Data Engineering
Udgivet: 6.7.2021 -
SDS 484: Algorithm Aversion
Udgivet: 2.7.2021 -
SDS 483: Setting Yourself Apart in Data Science Interviews
Udgivet: 29.6.2021 -
SDS 482: The Continuous Calendar
Udgivet: 25.6.2021 -
481: Performance Marketing Analytics
Udgivet: 22.6.2021 -
480: Top Five Resume Tips
Udgivet: 18.6.2021 -
479: Knowledge Graphs
Udgivet: 15.6.2021 -
478: Five Keys to Success
Udgivet: 11.6.2021 -
477: How to Thrive as an Early-Career Data Scientist
Udgivet: 8.6.2021
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.
