Super Data Science: ML & AI Podcast with Jon Krohn
Podcast autorstwa Jon Krohn
877 Odcinki
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SDS 496: 2040: A Brain-Computer Interface Story
Opublikowany: 13.08.2021 -
SDS 495: Successful AI Projects and AI Startups
Opublikowany: 10.08.2021 -
SDS 494: How to Instantly Appreciate Being Alive
Opublikowany: 6.08.2021 -
SDS 493: Bringing Data to the People
Opublikowany: 3.08.2021 -
SDS 492: The World is Awful (and it's Never Been Better)
Opublikowany: 30.07.2021 -
SDS 491: R in Production
Opublikowany: 27.07.2021 -
SDS 490: Say No to Pie Charts
Opublikowany: 23.07.2021 -
SDS 489: Monetizing Machine Learning
Opublikowany: 20.07.2021 -
SDS 488: The Price of Your Attention
Opublikowany: 16.07.2021 -
SDS 487: Fixing Dirty Data
Opublikowany: 13.07.2021 -
SDS 486: The History of Calculus
Opublikowany: 9.07.2021 -
SDS 485: Financial Data Engineering
Opublikowany: 6.07.2021 -
SDS 484: Algorithm Aversion
Opublikowany: 2.07.2021 -
SDS 483: Setting Yourself Apart in Data Science Interviews
Opublikowany: 29.06.2021 -
SDS 482: The Continuous Calendar
Opublikowany: 25.06.2021 -
481: Performance Marketing Analytics
Opublikowany: 22.06.2021 -
480: Top Five Resume Tips
Opublikowany: 18.06.2021 -
479: Knowledge Graphs
Opublikowany: 15.06.2021 -
478: Five Keys to Success
Opublikowany: 11.06.2021 -
477: How to Thrive as an Early-Career Data Scientist
Opublikowany: 8.06.2021
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.
