#40525

Mentioned in 1 episodes

Data science from scratch

Book • 2015

This book provides a foundational understanding of data science by implementing fundamental tools and algorithms from scratch.

It covers topics such as Python basics, linear algebra, statistics, machine learning, and more.

The book is designed for those with some programming and mathematical background, aiming to provide a solid foundation in data science principles.

Mentioned by

Daniel Whitenack

Mentioned in 1 episodes

Recommended by

Mark Saroufim

as a resource for preparing for ML interviews.

#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

Mentioned by

Dan Whitenack

as a book with neural network implementations in Python.

Celebrating episode 50 and the neural net!

Recommended by

Dan Whitenack

as a great place to start learning about AI for software engineers.

AI code that facilitates good science

Mentioned by

Daniel Whitenack

as a great learning resource for data science.

AI-driven studies of the ancient world and good GANs

Recommended by

Dan Whitenack

as a great reference for many years, recently updated to include deep learning.

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