Software Unscripted

Comparing Haskell to R with Will Kurt

Jun 20, 2023

01:00:42

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Episode notes

Introduction

4min

How to Write a Book in Haskell

6min

Python and the Stats Ecosystem

3min

Python Over R for Machine Learning Platforms

4min

How to Type Objects in JavaScript

2min

The Differences Between JavaScript and Data Science

4min

The Importance of Type Checking in Data Science

3min

The Difference Between Static Typing and Dynamic Typing

4min

How to Think About Workflows in Programming

3min

10.

The Importance of Reusing Functions in Notebooks

4min

11.

The Future of Programming Languages

2min

12.

The Future of Languages

5min

13.

The New Categorization of High Reliability Tools

3min

14.

The Importance of Reliability in AI

2min

15.

The Importance of a Soft Template in Data Science Workflows

2min

16.

Differentiable Programming: A Cool Approach to Problem Solving

4min

17.

The Importance of Gradient Derivatives in Programming

2min

18.

The Future of Machine Learning

2min

Richard talks to Will Kurt, an AI Engineer at Hex as well as the author of both the countbayesie.com blog as well as the book Get Programming with Haskell, from Manning Publications. They talk about the book, about Haskell in general, and end up comparing Haskell to R, as well as type systems and artificial intelligence!

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