Super Data Science: ML & AI Podcast with Jon Krohn
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.
Episodes
Mentioned books
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
Oct 15, 2021 • 8min
514: Does Caffeine Hurt Productivity? (Part 2: Experimental Results)
In this episode, I dive into the nuts and bolts of data on my experiment into caffeine and productivity.Additional materials: www.superdatascience.com/514
Oct 12, 2021 • 54min
513: Transformers for Natural Language Processing
Denis Rothman joins us to discuss his writing work in natural language processing, explainable AI, and more!In this episode you will learn:
What are transformers and their applications? [7:54]
Denis’s book on explainable AI [25:08]
AI by Example [35:53]
LinkedIn audience questions [42:00]
Additional materials: www.superdatascience.com/513
Oct 8, 2021 • 6min
512: Does Caffeine Hurt Productivity? (Part 1)
I dive into a personal experiment to test my productivity relative to my coffee intake and if caffeine is actually hurting my productivity.Additional materials: www.superdatascience.com/512
Oct 5, 2021 • 1h 9min
511: Data Science for Private Investing — LIVE with Drew Conway
Drew Conway joins us on the first live podcast to discuss his work in private investing and how data science figures into and improves his work.In this episode you will learn:
The R Conference and NYHackR [6:33]
Machine Learning for Hackers [20:17]
Two Sigma and Drew’s work [28:27]
Drew’s team structure at Two Sigma [35:12]
Audience Q&A [46:27]
Additional materials: www.superdatascience.com/511
Oct 1, 2021 • 7min
510: Deep Reinforcement Learning
In this episode, I dive into the world of reinforcement learning and deep reinforcement learning and the benefits of both.Additional materials: www.superdatascience.com/510
Sep 28, 2021 • 1h 21min
509: Accelerating Start-up Growth with A.I. Specialists
Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI.In this episode you will learn:
Parinaz’s work at Georgian [5:35]
Use cases of Georgian’s work [14:35]
Tools and approaches Parinaz uses [32:27]
Environmental concerns of machine learning [42:52]
Hiring at Georgian and what Parinaz looks for [48:18]
How did Parinaz become interested in this? [56:19]
Fairness in AI [1:09:01]
Additional materials: www.superdatascience.com/509
Sep 24, 2021 • 3min
508: Building Your Ant Hill
In this episode, I discuss an interesting bit of my grandmother’s view about the process of working and going through life.Additional materials: www.superdatascience.com/508
Sep 21, 2021 • 1h 55min
507: Bayesian Statistics
Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to real-world problems.In this episode you will learn:
Getting Rob on the show [8:12]
Stan [9:34]
Gradients [18:15]
What is Bayesian statistics? [23:05]
Multi-modal deep learning [45:20]
Stan package [53:46]
Applications of Bayesian stats [1:09:47]
The day-to-day of a PhD in stats [1:21:56]
What does the future hold? [1:42:37]
Additional materials: www.superdatascience.com/507
Sep 17, 2021 • 9min
506: Supervised vs Unsupervised Learning
In this episode, I continue with last week’s theme and discuss the differences between supervised and unsupervised learning.Additional materials: www.superdatascience.com/506
