

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

Jan 28, 2022 • 3min
544: Daily Habit #3: Make Your Bed
Discover how making your bed daily can positively impact your mornings, prevent negative habits, and lead to overall happiness in your life.

Jan 25, 2022 • 55min
543: Sparking A.I. Innovation — with Nicole Büttner
Nicole Büttner, Founder and CEO of Merantix Labs, discusses sparking A.I. innovation, handling unbalanced data sets, engineering reusable components, and using Merantix's A.I. Canvas framework. She also explains how to be part of Merantix's program as a founder.

Jan 21, 2022 • 3min
542: Continuous Calendar for 2022
Explore the benefits of using a continuous calendar matrix for organizing deadlines and enhancing time management. Get a 2022 calendar template provided by the speaker to optimize your planning approach.

Jan 18, 2022 • 1h 8min
541: Data Observability — with Dr. Kevin Hu
Dr. Kevin Hu, founder of data observability startup Metaplane, discusses identifying data quality issues, his PhD research on automating data science systems, launching Metaplane, his experience in Y Combinator, software tools as a CEO, and what he looks for in data engineer hires.

Jan 14, 2022 • 4min
540: Daily Habit #2: Start the Day with a Glass of Water
Discover the benefits of starting your day with a glass of water to combat dehydration symptoms like headaches and fatigue. Jon shares personal experiences and insights on how this simple habit can boost productivity for a successful day ahead.

Jan 11, 2022 • 1h 2min
539: Interpretable Machine Learning — with Serg Masís
Serg Masís, an expert in interpretable machine learning, discusses the importance of this field, challenges involved, future trends, and his role as a Climate & Agronomic Data Scientist. He also shares his day-to-day tools, productivity tips, and why he pursued a Master's in Data Science.

Jan 7, 2022 • 7min
538: Daily Habit #1: Track Your Habits
Discover the power of habit tracking for self-improvement with practical tips and examples from Jon. Learn how tracking daily habits can lead to insights and goal achievement.

Jan 4, 2022 • 1h 16min
537: Data Science Trends for 2022
Data science expert, Sadie St. Lawrence, talks about trends for 2022 including AutoML tools, deepfakes' social impacts, scalable AI, blockchain's role, and global data literacy. Discussions on data science trends for 2021 and implications of remote-working economy.

Dec 31, 2021 • 13min
536: What I Learned in 2021
Jon Krohn shares his top learnings from 2021, highlighting consistency, delegation, remote work, real-life interactions, and work-life balance. He discusses the impact of consistency in marketing and weightlifting, the importance of effective delegation, benefits of documentation in remote work, and finding balance amidst pandemic challenges.

Dec 28, 2021 • 1h 10min
535: How to Found, Grow, and Sell a Data Science Start-up
Prolific data science entrepreneur Austin Ogilvie shares his journey from liberal arts graduate to tech founder. Topics include naming Yhat, Y Combinator experience, benefits of being a technical founder, tools used, Unity gaming environment, and qualities of a great data scientist.


