Machine Learning

title

Back propagation

aiml-sheet.vercel.app optimise learning AIML using backprop
title

Neural Machine Translation Atlas — NMT Decoded

programming-ocean.com Discover the evolution of NMT: from early RNN models to LSTM Seq2Seq, Bahdanau attention, Luong attention, LSTMN, and the Transformer.
title

The ML Trench

deep-ml-trench.vercel.app Learn how to build accessible, SEO-friendly websites with Astro, focusing on meta descriptions and user experience.
title

Performance | GPU Glossary

modal.com
title

Welcome to Spinning Up in Deep RL! — Spinning Up documentation

spinningup.openai.com
title

Lil'Log

lilianweng.github.io Document my learning notes.
title

People + AI Research

pair.withgoogle.com People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI.
title

Why Momentum Really Works

distill.pub We often think of optimization with momentum as a ball rolling down a hill. This isn't wrong, but there is much more to the story.
title

Linear Algebra for Data Science

shainarace.github.io A traditional textbook fused with a collection of data science case studies that was engineered to weave practicality and applied problem solving into a linear algebra curriculum
title

Polo Club of Data Science @ Georgia Tech

poloclub.github.io We create scalable, interactive, and interpretable tools that amplify human's ability to understand and interact with billion-scale data and machine learning models. Our current research thrusts: human-centered AI (safe, interpretable, trustworthy AI; adversarial ML; inclusive AI); large graph visualization and mining; cybersecurity; and social good (health, energy).
title

AI/ML Roadmap for beginners in 2025

aimlengineer.io A step-by-step guide for software engineers to master essential skills and land a job in AI.
title

Understanding Deep Learning

udlbook.github.io
title

Deep-ML

deep-ml.com Practice Machine Learning with Deep-ML
title

GitHub - armankhondker/awesome-ai-ml-resources: Learn AI/ML concepts and prepare for interviews using free resources.

github.com Learn AI/ML concepts and prepare for interviews using free resources. - GitHub - armankhondker/awesome-ai-ml-resources: Learn AI/ML concepts and prepare for interviews using free resources.
title

Just the Maths by AJ Hobson

archive.uea.ac.uk
title

labml.ai

labml.ai Paper Implementations in PyTorch
title

MLSys Seminars

youtube.com ML system design
title

ML Resources

ml-resources.vercel.app A comprehensive collection of machine learning resources
title

CNN Explainer

poloclub.github.io An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs).
title

Introduction to Machine Learning Interviews Book · MLIB

huyenchip.com
title

MLU-Explain

mlu-explain.github.io Visual explanations of core machine learning concepts.
title

Neural networks and deep learning

neuralnetworksanddeeplearning.com
title

My ML Resources!

waterwater.bearblog.dev Thank you so much for coming here to read my blog. This is my first blog and I want to answer the most asked question via DMs, replies, tweets and all the...
title

Practical Deep Learning for Coders - Practical Deep Learning

course.fast.ai A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.
title

Intro — mlcourse.ai

mlcourse.ai