

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

Nov 19, 2021 • 6min
524: The Highest-Paying Data Tools
Discover the highest-paying data tools for data scientists based on the O'Reilly survey. Python-based libraries like Scikit-learn, TensorFlow, and PyTorch are top earners, emphasizing the importance of open-source tools for higher salaries.

Nov 16, 2021 • 1h 28min
523: Open-Source Analytical Computing (pandas, Apache Arrow)
Wes McKinney, creator of pandas and Apache Arrow, discusses history of pandas, Python for data analysis, Apache Arrow, and Voltron Data. Audience Q&A reveals Wes's favorite tools and project names origins.

Nov 12, 2021 • 3min
522: Data Tools vs. Data Platforms
Exploring the differences between data tools and data platforms, setting the stage for upcoming discussions on top-paying data tools and platforms in the O'Reilly 2021 Data AI Salary Survey.

Nov 9, 2021 • 1h 2min
521: Skyrocket Your Career by Sharing Your Writing
Khuyen Tran, a prolific technical writer and data science student, talks about online writing, book writing, increasing engagement, work with Towards Data Science and NVIDIA, undergrad studies. Discussions cover writing challenges, visual aids, Medium benefits, consulting, data science applications, task management, active learning, and technical writing strategies.

Nov 5, 2021 • 5min
520: The Highest-Paying Programming Languages for Data Scientists
Exploring the impact of programming languages on data scientists' salaries based on the O'Reilly Data AI Salary Survey. Highlights include variations in salaries for Python, SQL, R, and Julia, as well as the growing demand and high salaries associated with newer functional languages like Rust, Go, Erlang, and Scala.

Nov 2, 2021 • 1h 8min
519: A.I. for Good
Guest James Hodson, AI for Good CEO, discusses promoting sustainability and A.I. for social issues. Topics include founding of AI for Good, case studies, how to get involved, and skills sought in hires.

Oct 29, 2021 • 2min
518: Fail More
Embracing failure as a tool for personal growth and progress, the podcast emphasizes changing perspectives on failure and using it to learn and persist in endeavors with resilience

Oct 26, 2021 • 56min
517: Courses in Data Science and Machine Learning
Sadie St. Lawrence, a data science educator, discusses her courses in SQL and machine learning, the popularity of her courses, upcoming machine learning certificate, Women in Data initiative, her non-technical background, and explores topics like NFTs and VR.

Oct 22, 2021 • 7min
516: Does Caffeine Hurt Productivity? (Part 3: Scientific Literature)
The speaker discusses the effects of caffeine on productivity, revealing improved focus without caffeine. They explore caffeine's benefits in enhancing alertness, reaction time, and athletic performance. Uncertainty surrounds caffeine's influence on complex tasks like data science work, with personal insights on quitting coffee for deep work and well-being.

Oct 19, 2021 • 39min
515: Accelerating Impact through Community — with Chrys Wu
Chrys Wu, a community organizer, talks about K-Pop, tips for building data communities, Write/Speak/Code, Hacks/Hackers, and the importance of community involvement in data science for impact.


