Super Data Science: ML & AI Podcast with Jon Krohn
Ein Podcast von Jon Krohn
877 Folgen
-
SDS 537: Data Science Trends for 2022
Vom: 4.1.2022 -
SDS 536: What I Learned in 2021
Vom: 31.12.2021 -
SDS 535: How to Found, Grow, and Sell a Data Science Start-up
Vom: 28.12.2021 -
SDS 534: A Holiday Greeting
Vom: 24.12.2021 -
SDS 533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully
Vom: 21.12.2021 -
SDS 532: Mutable vs Immutable Conditions
Vom: 17.12.2021 -
SDS 531: Data Science at the Command Line
Vom: 14.12.2021 -
SDS 530: Ten A.I. Thought Leaders to Follow (on Twitter)
Vom: 10.12.2021 -
SDS 529: A.I. Robotics at Home
Vom: 7.12.2021 -
SDS 528: The Normal Anxiety of Content Creation
Vom: 3.12.2021 -
SDS 527: Automating Data Analytics
Vom: 30.11.2021 -
SDS 526: The Highest-Paying Data Frameworks
Vom: 26.11.2021 -
SDS 525: Hurdling Over Data Career Obstacles
Vom: 23.11.2021 -
SDS 524: The Highest-Paying Data Tools
Vom: 19.11.2021 -
SDS 523: Open-Source Analytical Computing (pandas, Apache Arrow)
Vom: 16.11.2021 -
SDS 522: Data Tools vs. Data Platforms
Vom: 12.11.2021 -
SDS 521: Skyrocket Your Career by Sharing Your Writing
Vom: 9.11.2021 -
SDS 520: The Highest-Paying Programming Languages for Data Scientists
Vom: 5.11.2021 -
SDS 519: A.I. for Good
Vom: 2.11.2021 -
SDS 518: Fail More
Vom: 29.10.2021
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.