Super Data Science: ML & AI Podcast with Jon Krohn

Christina Stathopoulos, Analytical Lead for Waze and Adjunct Professor at IE Business School, joins the podcast to shed light on her work with geospatial data and how she nurtured an entire data career while abroad in Spain.In this episode you will learn:• Christina's tips on navigating an unconventional path into a data career [3:05]• Geospatial data and open-source packages for working with it [10:08]• Guidance to help women and other underrepresented groups to thrive in tech [22:28]• The hard and soft skills most essential to success in a data role today [39:26]• Christina’s #bookaweekchallenge and the top data-centric book recommendations [43:28]Additional materials: www.superdatascience.com/603

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

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

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

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

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

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

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

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

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