Super Data Scienceinactive
Media Type |
audio
Categories Via RSS |
Business
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.
Country Of Origin |
USA
Produced In |
New York, NY
Frequency |
Weekly
Explicit |
No

This podcast currently has no reviews.

Submit Review
675 Available Episodes (675 Total)Average duration: 00:39:38
Apr 21 | 00:16:50
672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0
Apr 18 | 01:03:13
671: Cloud Machine Learning
Apr 14 | 00:13:26
670: LLaMA: GPT-3 performance, 10x smaller
Apr 11 | 01:40:59
669: Streaming, reactive, real-time machine learning
Apr 07 | 00:55:47
668: GPT-4: Apocalyptic stepping stone?
Apr 04 | 01:04:30
667: Harnessing GPT-4 for your Commercial Advantage
Mar 31 | 00:11:51
666: GPT-4
Mar 28 | 01:27:44
665: How to be both socially impactful and financially successful in your data career
Mar 24 | 00:05:15
664: MIT Study: ChatGPT Dramatically Increases Productivity
Mar 21 | 01:17:29
663: Astonishing CICERO negotiates and builds trust with humans using natural language
This podcast could use a review!

This podcast could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review
You might also like