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