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
Aug 19, 2022 • 3min
602: We Are Living in Ancient Times
Inspired by a quote from by science fiction writer, Teresa Nielsen Hayden, Jon Krohn reflects on the notion of living in ancient times and the machine learning-related implications that arise from this perspective.Additional materials: www.superdatascience.com/602
Aug 16, 2022 • 56min
601: Venture Capital for Data Science
This week, Sarah Catanzaro, General Partner at Amplify Partners joins Jon for an episode that dives into the venture capital side of data science. Learn how to fund your data science business idea, take note of what start-ups can do to survive or raise capital in the current economic climate, and discover how to break into the field of venture capital yourself.In this episode you will learn:• Angel vs. venture capital vs. private equity investment [7:27]• How early-stage investment is made prior to a firm having product-market fit [14:33]• How to pick winners in early-stage investments [28:08]• Tricks to accelerating from a data science idea to obtaining funding [36:21]• Observational causal inference [44:01]• How to get involved in venture capital [47:37]Additional materials: www.superdatascience.com/601
Aug 12, 2022 • 35min
600: Yoga Nidra Practice with Steve Fazzari
Rest and relaxation await as Steve Fazzari joins us this week for a special edition of the podcast! Tune in for a rejuvenating session of Yoga Nidra led beautifully by the expert.Additional materials: www.superdatascience.com/600
Aug 9, 2022 • 1h 21min
599: MLOps: Machine Learning Operations
This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field.In this episode you will learn:• What MLOps is [11:40]• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11]• The three most important MLOps tools [32:15]• The six most essential MLOps skills for data scientists [47:01]• The key factors Mikiko looks when hiring engineers [1:07:31]• Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20]Additional materials: www.superdatascience.com/599
Aug 5, 2022 • 12min
598: Getting Kids Excited about STEM Subjects
Ben Taylor makes a fourth appearance on Five-Minute Friday to discuss the best ways to introduce STEM to children. Tune in to hear the many ways in which he thinks STEM education will evolve in the future.Additional materials: www.superdatascience.com/598
Aug 2, 2022 • 1h 23min
597: A.I. Policy at OpenAI
Dr. Miles Brundage, Head of Policy Research at OpenAI, joins Jon Krohn this week to discuss AI model production, policy, safety, and alignment. Tune in to hear him speak on GPT-3, DALL-E, Codex, and CLIP as well.In this episode you will learn:• Miles’ role as Head of Policy Research at OpenAI [4:35]• OpenAI's DALL-E model [7:20]• OpenAI's natural language model GPT-3 [30:43]• OpenAI's automated software-writing model Codex [36:57]• OpenAI’s CLIP model [44:01]• What sets AI policy, AI safety, and AI alignment apart from each other [1:07:03]• How A.I. will likely augment more professions than it displaces them [1:12:06]Additional materials: www.superdatascience.com/597
Jul 29, 2022 • 7min
596: The A.I. Platforms of the Future
Ben Taylor returns for a third Five-Minute Friday episode! This week, he looks ahead and digs into what we can expect from the A.I. platforms of the future.Additional materials: www.superdatascience.com/596
Jul 26, 2022 • 1h 19min
595: Data Engineering 101
Tune in as Joe Reis and Matt Housley, co-founders of Ternary Data and co-authors of the book “Fundamentals of Data Engineering” join Jon Krohn to discuss major undercurrents across the data engineering lifecycle, and their top tools and techniques.In this episode you will learn:• What is data engineering? [3:55]• Why Joe and Matt identify as “recovering data scientists” [6:12]• What kinds of people tend to become data scientists vs. data engineers [10:38]?• Key components of Joe and Matt’s book [26:31]• Major undercurrents across the data engineering lifecycle [28:26]• The most under-utilized tool in a data engineer's toolbox [34:39]• How there are tradeoffs in any data pipeline latency considerations, but faster is typically the default assumption [38:55]• Joe and Matt’s favorite data engineering tools and techniques [43:39]Additional materials: www.superdatascience.com/595
Jul 22, 2022 • 5min
594: Why CEOs Care About A.I. More than Other Technologies
This week, Jon Krohn and A.I. industry veteran Ben Taylor discuss the driving factors that push CEOs to prioritize A.I. over other technologies.Additional materials: www.superdatascience.com/594
Jul 19, 2022 • 1h 22min
593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration
Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today.In this episode you will learn:• Why Philip founded a School of Data Science [6:08]• How computing and data science have evolved across academic departments [15:55]• The improvements needed in higher education [26:44]• The most important data science skills for academia and industry and the 4+1 model [36:49]• Philip’s biomedical data science research and its fascinating practical applications [43:24]• The essential roles of open-source code and open-access publishing in data science [1:01:27]Additional materials: www.superdatascience.com/593
