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
Jan 28, 2022 • 3min
544: Daily Habit #3: Make Your Bed
Our habit-tracking series continues with a look at how making your bed can jumpstart your mornings, prevent you from taking part in negative habits and help you become happier.Additional materials: www.superdatascience.com/544
Jan 25, 2022 • 55min
543: Sparking A.I. Innovation — with Nicole Büttner
Nicole Büttner (Founder and CEO of Merantix Labs) joins the podcast to discuss driving A.I. innovation, automation, and transformation and building the ideal A.I. start-up founding team.In this episode you will learn:
The three factors that spark A.I. innovation [12:48]
How to make great use of the unlabelled, unbalanced data sets [18:54]
How to engineer reusable data and software components [25:09]
Merantix's A.I. Canvas framework for successful innovation [29:59]
How to be a part of Merantix's program as a founder [45:23]
Additional materials: www.superdatascience.com/543
Jan 21, 2022 • 3min
542: Continuous Calendar for 2022
Revisit the much-underrated continuous calendar and get started with this uncommon planning method thanks to Jon's 2022 template. Additional materials: www.superdatascience.com/542
Jan 18, 2022 • 1h 8min
541: Data Observability — with Dr. Kevin Hu
In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder.In this episode you will learn:
What is data observability? [4:35]
•How to identify data quality issues? [8:56]
Kevin's PhD research on automating data science systems using machine learning [16:18]
Why Kevin launched Metaplane [28:50]
The pros and cons of an academic career relative to the start-up hustle [31:57]
Kevin's experience in Y-Combinator accelerator [39:50]
The software tools he uses daily as a CEO [50:54]
What Kevin looks for in data engineer hires [56:13]
Additional materials: www.superdatascience.com/541
Jan 14, 2022 • 4min
540: Daily Habit #2: Start the Day with a Glass of Water
In this episode, Jon opens up about starting his day with a glass of water – his first morning habit that sets his day off on a healthy and successful note.Additional materials: www.superdatascience.com/540
Jan 11, 2022 • 1h 2min
539: Interpretable Machine Learning — with Serg Masís
In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.In this episode you will learn:
What is interpretable machine learning? [8:41]
The social and financial ramifications of interpreting models incorrectly [10:23]
The challenges involved in interpretable ML [16:00]
The most important interpretable ML concepts to master [19:54]
The future of Interpretable ML [32:41]
What it’s like to be a Climate & Agronomic Data Scientist [42:28]
Serg’s day-to-day tools [49:05]
Serg's productivity tips [50:25]
Why Serg pursued a Master's in Data Science [52:25]
Additional materials: www.superdatascience.com/539
Jan 7, 2022 • 7min
538: Daily Habit #1: Track Your Habits
In this episode, Jon shares his "life-changing" habit tracking system that has allowed him to achieve more, create more structure within his day and cut out bad habits.Additional materials: www.superdatascience.com/538
Jan 4, 2022 • 1h 16min
537: Data Science Trends for 2022
Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022.In this episode you will learn:
A look back at data science trends for 2021 [4:03]
Micro and macro data science trends for 2022 [12:30]
AutoML tools [15:20]
The social implications of deepfakes [21:21]
Scalable AI [38:40]
Macro data science trends for 2022 [42:45]
The impact of the remote-working economy in data science [43:21]
Blockchain in data science [50:28]
Data literacy of the global workforce [1:01:07]
Additional materials: www.superdatascience.com/537
Dec 31, 2021 • 13min
536: What I Learned in 2021
Jon goes over his five biggest learnings from 2021 and what he hopes to work on in 2022.Additional materials: www.superdatascience.com/536
Dec 28, 2021 • 1h 10min
535: How to Found, Grow, and Sell a Data Science Start-up
Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.In this episode you will learn:
The story behind the naming of Yhat and its early beginnings [5:10]
Austin and Yhat's experience at Y Combinator [19:00]
The benefits of being a technical founder [25:00]
From arts degree graduate to successful tech entrepreneur [27:00]
Austin's latest venture, Laika [39:30]
The tools that Austin uses day-to-day [47:30]
Unity gaming environment [49:58]
What makes a great data scientist [56:23]
Additional materials: www.superdatascience.com/535
