Into the Hopper

An occasional podcast about machine learning, data science, software engineering, and more.

Writing a Math Textbook with Claude with Professor Ghrist

Dr. Robert Ghrist shares how he used Claude to "direct" the writing of a beautiful linear algebra textbook in 55 days.

01-18
43:22

Building a Startup with AI with Jowanza Joseph

Jowanza Joseph shares how his startup leverages AI tools like Cursor to accelerate software development and compete with established players.

12-17
56:58

AI Assisted Programming with Ravi Mody

I talk with data science veteran Ravi Mody about his use of large language models in programming practice.

09-17
37:27

Apache Pulsar with Jowanza Joseph

I talk with Jowanza Joseph about his new book Mastering Apache Pulsar: Cloud Native Event Streaming at Scale

02-06
50:53

Ocean Engineering to Data Science with Brenton Mallen

I talk with Brenton Mallen about his career progression from ocean engineering to data science.

09-15
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Hiring Data Scientists with Roy Keyes

I talk with Roy Keyes about his imporant new book

06-30
44:22

Feature Stores with Willem Pienaar

Adam Laiacano and I talk with Willem Pienaar, software engineer at Tecton, about feature stores and his work on the Feast open source feature store library.

01-16
45:00

Evolution of a Data Scientist with Adam Laiacano

I talk with Spotify Staff Machine Learning Engineer Adam Laiacano about his roots working on nuclear clocks and his evolution into leading machine learning projects at Spotify.

10-09
59:26

Customer Focused Data Science with Mike Rogers

In this episode, I speak with Mike Rogers, Senior Director of Solutions Architecture at Tala Security, about the importance of customer-focused data science for enterprise software products.

07-23
32:26

Fizz Buzz Book with Joel Grus

In this episode, Joel and I discuss his brilliant new book Ten Essays on Fizz Buzz Meditations on Python, mathematics, science, engineering, and design.

07-15
36:45

Ten Years of Data Science with Josh Wills and Oscar Boykin

In this episode, we discuss metadata stores, the marketability of math skills, dreams for the data science language of the future, the career advantage of tackling easy problems, and machine learning as technical debt. Josh also bashes blockchains.

02-17
58:53

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