Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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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.

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