Machine Learning Engineering Open Book

📚 Book

@datascienceiot

A brief tutorial on information theory

📚 Book

@datascienceiot

Gnedenko Theory Of Probability

📚 Book

@datascienceiot

Introduction to Information Retrieval

📚 Book

@datascienceiot

Striking the Right Balance: Optimizing Availability and Consistency in Distributed Architectures

📚 Read

@datascienceiot

Linear Algebra for Team-Based Inquiry Learning 2024 Early Edition

📚 Book

@datascienceiot

understanding deep learning

📚 Book

@datascienceiot

Matrix Theory and LINEAR ALGEBRA

📚 Book

Data-Intensive Text Processing with MapReduce

📚 Book

@datascienceiot

140+ Basic Python Programs

@datascienceiot

#python #interview

Very cool cookbook here

PDF extractor, calendar agent, data analyst, financial agent & more

docs: https://docs.cohere.com/docs/multi-step-tool-use
cookbook: https://github.com/cohere-ai/notebooks/tree/main?tab=readme-ov-file#agents

@datascienceiot

Core Python Applications Programming

📚 Book

@datascienceiot

Reinforcement Learning_ An Introduction, 2nd Edition

📚 Book

@datascienceiot

Machine Learning: The Basics

📚 Book

@datascienceiot

Exercises in Machine Learning

📚 Book

@datascienceiot

The Tensor Cookbook

📚 Book

@datascienceiot

Introduction to Machine Learning
Laurent Younes

📚 Book

@datascienceiot

Harvard's lecture notes on "Probability, Statistics, and Linear Algebra"

Book

@datascienceiot

An Introduction to Graph Theory

📚 Book

@datascienceiot