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Super Data Science

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Super Data Science

Jon Krohn and Guests on Machine Learning, A.I., and Data-Career Success

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The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep tech ...
 
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In this episode, Kevin Hu joins the podcast to talk about founding and growing the data observability startup, Metaplane. Listen in to hear about his time in academia at MIT, his experience with Y Combinator, and his current routine as a technical founder.In this episode you will learn:• What is data observability? [4:35]• How to identify data qual…
 
In this episode, Serg Masís joins the podcast to share his in-depth technical knowledge of Interpretable Machine Learning. Together they discuss why this field matters, how it’s evolving, and so much more.In this episode you will learn:• What is interpretable machine learning? [8:41]• The social and financial ramifications of interpreting models in…
 
Sadie St. Lawrence returns to discuss the biggest data science trends that are set to take over the industry in 2022.In this episode you will learn:• A look back at data science trends for 2021 [4:03]• Micro and macro data science trends for 2022 [12:30]• AutoML tools [15:20]• The social implications of deepfakes [21:21]• Scalable AI [38:40]• Macro…
 
Prolific data science entrepreneur and Y Combinator alum Austin Ogilvie (Laika, Yhat) joins Jon Krohn for a revealing look into his journey of starting, growing, and selling a data science startup. From liberal arts graduate to twice successful technical founder, take a seat and learn from the best.In this episode you will learn:• The story behind …
 
Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion.In this episode you will learn:• What is Nearmap? [5:22]• What is a Director of AI Output Systems? [7:51]• A case study [20:35]• MLOps at Nearmap [26:37]• Brett’s day-to-day and wh…
 
Jeroen Janssens joins on the podcast to discuss his book on utilizing the command line for data science and the importance of polyglot data science work.In this episode you will learn:• The genesis of Jeroen’s book [3:24]• Data Science at the Command Line [8:55]• Creating your own command line tools [22:07]• Polyglot data scientist [24:29]• Data Sc…
 
Dave Niewinski joins us to discuss his prolific work in robotics both as a consultant and a popular YouTuber.In this episode you will learn:• Dave’s Armoury [4:44]• Robotic cornhole tournament [12:33]• Dave’s many robots [14:25]• Dave’s idea process [28:51]• Future robots [31:43]• Dave’s consulting business [33:27]• Tools Dave likes to use [37:05]•…
 
Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis.In this episode you will learn:• Meaning of the name Sisu [3:08]• What Sisu does [4:45]• Sisu and the data science stack [17:00]• Going from academia to startups [22:37]• What Sisu looks for when hiring [28:57]• …
 
Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome.In this episode you will learn:• Karen’s background as a hurdler [4:42]• Women in Data Podcast [10:32]• Cardlytics [19:04]• Karen’s background and current career [22:55]• Karen’s favorite tools [31:29]…
 
Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools.In this episode you will learn:• History of pandas [7:29]• The trends of R and Python [23:33]• Python for Data Analysis [25:58]• pandas updates and community [30:10]• Apache Arrow [41:50]• Voltron Data [55:10]• O…
 
Khuyen Tran joins us to discuss her work as a prolific technical writer and undergraduate data science student.In this episode you will learn:• Khuyen’s online writing [4:00]• Book writing [8:50]• How you can increase your engagement [13:49]• Khuyen’s work with Towards Data Science and NVIDIA [19:01]• Ocelot Consulting [24:08]• Khuyen’s undergrad w…
 
James Hodson joins us to discuss his philosophy and work at A.I. For Good and how they aim to promote sustainability and A.I. use for social issues.In this episode you will learn:• AI for Good [5:17]• Founding of AI for Good [8:50]• Case studies [14:58]• How you can get involved [46:29]• Skills James looks for in hires [50:39]Additional materials: …
 
Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both online and collegiate courses as well as her organization for diversifying data science careers.In this episode you will learn:• Sadie’s education work in SQL [4:13]• The popularity of Sadie’s course [13:32]• Sadie’s forthcoming machine learning certi…
 
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