Super Data Science: ML & AI Podcast with Jon Krohn
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.
Latest episodes
Nov 19, 2021 • 6min
524: The Highest-Paying Data Tools
In this episode, I go over the highest-paying data tools based on the O’Reilly survey.Additional materials: www.superdatascience.com/524
Nov 16, 2021 • 1h 28min
523: Open-Source Analytical Computing (pandas, Apache Arrow)
Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools.In this episode you will learn:
History of pandas [7:29]
The trends of R and Python [23:33]
Python for Data Analysis [25:58]
pandas updates and community [30:10]
Apache Arrow [41:50]
Voltron Data [55:10]
Origin of Wes’s project names [1:08:14]
Wes’s favorite tools [1:09:46]
Audience Q&A [1:15:34]
Additional materials: www.superdatascience.com/523
Nov 12, 2021 • 3min
522: Data Tools vs. Data Platforms
I provide you with some quick definitions of data tools vs data platforms to prep us for deep dives in future episodes.Additional materials: www.superdatascience.com/522
Nov 9, 2021 • 1h 2min
521: Skyrocket Your Career by Sharing Your Writing
Khuyen Tran joins us to discuss her work as a prolific technical writer and undergraduate data science student.In this episode you will learn:
Khuyen’s online writing [4:00]
Book writing [8:50]
How you can increase your engagement [13:49]
Khuyen’s work with Towards Data Science and NVIDIA [19:01]
Ocelot Consulting [24:08]
Khuyen’s undergrad work [32:12]
Audience questions [47:00]
Additional materials: www.superdatascience.com/521
Nov 5, 2021 • 5min
520: The Highest-Paying Programming Languages for Data Scientists
I take a look at the results of O’Reilly’s survey on salaries for data scientists in 2021.Additional materials: www.superdatascience.com/520
Nov 2, 2021 • 1h 8min
519: A.I. for Good
James Hodson joins us to discuss his philosophy and work at A.I. For Good and how they aim to promote sustainability and A.I. use for social issues.In this episode you will learn:
AI for Good [5:17]
Founding of AI for Good [8:50]
Case studies [14:58]
How you can get involved [46:29]
Skills James looks for in hires [50:39]
Additional materials: www.superdatascience.com/519
Oct 29, 2021 • 2min
518: Fail More
This week, I provide a short but important bit of advice on failure.Additional materials: www.superdatascience.com/518
Oct 26, 2021 • 56min
517: Courses in Data Science and Machine Learning
Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.In this episode you will learn:
Sadie’s education work in SQL [4:13]
The popularity of Sadie’s course [13:32]
Sadie’s forthcoming machine learning certificate course [16:29]
Women in Data [25:32]
Sadie’s non-technical background [36:17]
NFTs and VR [46:41]
Additional materials: www.superdatascience.com/517
Oct 22, 2021 • 7min
516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)
In this episode, I finish up my saga into the effects of caffeine on productivity.Additional materials: www.superdatascience.com/516
Oct 19, 2021 • 39min
515: Accelerating Impact through Community — with Chrys Wu
Chrys Wu joins us to discuss her community organizations, her tips, and her recommended resources for building data science communities for impact.In this episode you will learn:
The world of K-Pop [ 4:07]
Chrys’s talk at the R Conference [8:56]
Write/Speak/Code [14:05]
Hacks/Hackers [21:58]
Tips on developing data communities [27:22]
Additional materials: www.superdatascience.com/515
