532: Mutable vs Immutable Conditions
Jon discusses one helpful framework when it comes to problem-solving and how data scientists are uniquely positioned to employ this technique. Additional materials: www.superdatascience.com/532
Dec 17, 2021•5 min
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.
Episodes
531: Data Science at the Command Line
Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work. In this episode you will learn: The genesis of Jeroen’s book [3:24] Data Science at the Command Line [8:55] Creating your own command line tools [22:07] Polyglot data scientist [24:29] Data Science Workshops [27:01] Jeroen’s PhD research [30:38] Additional materials: www.superdatascience.com/531
Dec 14, 2021•51 min
530: Ten A.I. Thought Leaders to Follow (on Twitter)
Jon details his top ten AI thought leaders hoping that his suggestions prove valuable to you in your data science journey. Additional materials: www.superdatascience.com/530
Dec 10, 2021•5 min
529: A.I. Robotics at Home
Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber. In this episode you will learn: Dave’s Armoury [4:44] Robotic cornhole tournament [12:33] Dave’s many robots [14:25] Dave’s idea process [28:51] Future robots [31:43] Dave’s consulting business [33:27] Tools Dave likes to use [37:05] How did Dave get started in this line of work? [38:50] Dave’s advice to people who want to get into robotics [41:18] What is Dave excited about in the futur...
Dec 07, 2021•53 min
528: The Normal Anxiety of Content Creation
Jon explores his personal anxieties as a content creator to encourage fellow creators to keep sharing their knowledge. Additional materials: www.superdatascience.com/528
Dec 03, 2021•4 min
527: Automating Data Analytics
Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis. In this episode you will learn: Meaning of the name Sisu [3:08] What Sisu does [4:45] Sisu and the data science stack [17:00] Going from academia to startups [22:37] What Sisu looks for when hiring [28:57] Peter’s favorite tools [32:40] Peter’s academic research [45:02] Additional materials: www.superdatascience.com/527
Nov 30, 2021•1 hr 1 min
526: The Highest-Paying Data Frameworks
I finish up our three-part series on the results of the O’Reilly Survey, looking at the highest-paying data frameworks. Additional materials: www.superdatascience.com/526
Nov 26, 2021•6 min
525: Hurdling Over Data Career Obstacles
Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome. In this episode you will learn: Karen’s background as a hurdler [4:42] Women in Data Podcast [10:32] Cardlytics [19:04] Karen’s background and current career [22:55] Karen’s favorite tools [31:29] Karen’s balance of fitness and work [34:45] The biggest challenge of Karen’s career [47:09] Advancement in data [54:13] What is Karen most excited about?...
Nov 23, 2021•1 hr 9 min
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 19, 2021•6 min
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 16, 2021•1 hr 28 min
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 12, 2021•3 min
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 09, 2021•1 hr 2 min
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 05, 2021•5 min
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
Nov 02, 2021•1 hr 8 min
518: Fail More
This week, I provide a short but important bit of advice on failure. Additional materials: www.superdatascience.com/518
Oct 29, 2021•2 min
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/...
Oct 26, 2021•56 min
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 22, 2021•7 min
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 19, 2021•39 min
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 15, 2021•8 min
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 12, 2021•54 min
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 08, 2021•6 min
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 05, 2021•1 hr 9 min
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
Oct 01, 2021•7 min
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 ma...
Sep 28, 2021•1 hr 21 min
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 24, 2021•3 min
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 21, 2021•1 hr 55 min
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
Sep 17, 2021•9 min
505: From Data Science to Cinema
Hadelin de Ponteves joins us to discuss his latest educational work and how his skills as a data science educator helped him start his career in acting. In this episode you will learn: What has Hadelin been up to? [4:27] Hadelin’s cinema career and data science crossover [16:02] Sleep for productivity [27:27] How did Hadelin decide to undertake this? [32:26] Bollywood vs Hollywood [37:26] Additional materials: www.superdatascience.com/505
Sep 14, 2021•46 min
504: Classification vs Regression
In this episode, I give a quick introduction to subcategories of supervised learning problems. Additional materials: www.superdatascience.com/504
Sep 10, 2021•6 min
503: Deep Reinforcement Learning for Robotics
Pieter Abbeel joins us to discuss his work as an academic and entrepreneur in the field of AI robotics and what the future of the industry holds. In this episode you will learn: How does Pieter do it all? [5:45] Pieter’s exciting areas of research [12:30] Research application at Covariant [32:27] Getting into AI robotics [42:18] Traits of good AI robotics apprentices [49:38] Valuable skills [56:40] What Pieter hopes to look back on [1:04:30] LinkedIn Q&A [1:06:51] Additional materials: www.s...
Sep 07, 2021•1 hr 18 min
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