Epoch Learning Resources

Community
Learning Materials.

Curated by the Epoch team: the courses, papers, tools, and references we actually use across machine learning, mathematics, space science, and AI fundamentals. Each resource is included because it's genuinely excellent.

Machine Learning Mathematics Space & AI AI Fundamentals

Machine Learning

ML Research & Papers

The canonical sources for tracking state-of-the-art research. From preprint servers to curated leaderboards, these are where the field moves.

6 resources

Preprints

arXiv: cs.LG / cs.AI

The primary preprint server for machine learning. Every major paper appears here before journal publication. Subscribe to cs.LG and cs.AI for daily updates.

arxiv.org

Benchmarks

Papers With Code

Links every ML paper to its code implementation and tracks benchmark performance across tasks. Essential for understanding where the field actually stands.

paperswithcode.com

Community

Hugging Face Papers

Community-curated daily ML papers with upvotes and discussion. A fast way to surface what practitioners find most relevant.

huggingface.co

Safety & Alignment

Anthropic Research

Anthropic publishes work on AI safety, interpretability, and alignment. Particularly strong on mechanistic interpretability and constitutional AI.

www.anthropic.com

Frontier

DeepMind Research

AlphaFold, Gemini, and hundreds of foundational papers on reinforcement learning, protein structure, and scientific AI.

deepmind.google

Explainers

Distill.pub

Interactive, beautifully written deep dives into ML concepts. The articles on attention, circuits, and feature visualization remain among the best explanations ever written.

distill.pub

Mathematics

Mathematical Foundations

ML is applied mathematics. These resources build the linear algebra, calculus, probability, and statistics that underpin every model and proof.

6 resources

Visual Intuition

3Blue1Brown

Grant Sanderson's animated math series. The Essence of Linear Algebra and Essence of Calculus playlists are the clearest geometric introductions available anywhere.

www.3blue1brown.com

Course

MIT OCW: Linear Algebra (18.06)

Gilbert Strang's legendary MIT course. The foundation for understanding neural network weight spaces, PCA, SVD, and most of the geometry in modern ML.

ocw.mit.edu

Course

MIT OCW: Probability (6.041)

Rigorous probability theory from MIT. Covers Bayesian inference, distributions, and stochastic processes: the language of statistical learning.

ocw.mit.edu

Reference

The Matrix Calculus You Need for Deep Learning

Terence Parr and Jeremy Howard's concise reference for the exact matrix calculus used in backpropagation. Fills the gap most textbooks skip.

explained.ai

Reference

Paul's Online Math Notes

Comprehensive, well-organized notes on calculus, differential equations, and algebra. Extremely useful as a quick reference when reading papers.

tutorial.math.lamar.edu

Textbook

Mathematics for Machine Learning (Book)

Free textbook by Deisenroth, Faisal, and Ong. Covers linear algebra, analytic geometry, matrix decompositions, probability, and optimization in one place.

mml-book.github.io

Space & AI

Space Science & AI

AI is transforming astronomy, satellite systems, and space exploration. These resources sit at the intersection of machine learning and the cosmos.

6 resources

Research

NASA Technical Reports Server

Full archive of NASA technical papers and reports. Increasingly includes ML applications in mission planning, telescope data analysis, and planetary science.

ntrs.nasa.gov

Community

SpaceML

NASA FDL-affiliated community applying ML to heliophysics, Earth observation, and planetary science. Open datasets and active research collaborations.

spaceml.org

Datasets

ESA Open Science Hub

European Space Agency's open science platform. Includes Copernicus Earth observation data, mission datasets, and tools for satellite imagery analysis.

sciencehub.esa.int

Papers

ADS: Astrophysics Data System

Harvard's comprehensive database of astronomy and astrophysics literature. Search millions of papers spanning observational astronomy to computational cosmology.

ui.adsabs.harvard.edu

Citizen Science

Zooniverse

The world's largest citizen science platform. Galaxy classification, exoplanet hunting, and crater detection projects that intersect directly with ML research.

www.zooniverse.org

Course

fast.ai: Practical Deep Learning

Top-down approach to deep learning from Jeremy Howard. Widely used in the space science community for satellite imagery and time-series analysis.

course.fast.ai

AI Fundamentals

Core AI Education

Structured courses and textbooks that build deep understanding from the ground up. These are the resources the Epoch team returns to most.

6 resources

Course

Stanford CS229: Machine Learning

Andrew Ng's foundational ML course. Covers supervised learning, unsupervised learning, and the mathematical underpinnings of every classic algorithm.

cs229.stanford.edu

Course

Stanford CS224N: NLP with Deep Learning

The definitive course on NLP and transformer models. Lecture slides and assignments are free. Covers attention, BERT, GPT, and current LLM architectures.

web.stanford.edu

Textbook

Deep Learning Book (Goodfellow et al.)

The standard reference textbook for deep learning theory. Dense and rigorous; best read alongside a course rather than cover to cover.

www.deeplearningbook.org

Video Series

Andrej Karpathy: Neural Networks: Zero to Hero

Karpathy builds neural networks, backpropagation, and GPT from scratch in Python. One of the clearest practical introductions to how transformers actually work.

karpathy.ai

Research Community

The Alignment Forum

Technical discussion forum for AI safety and alignment research. Strong on interpretability, deceptive alignment, and formal approaches to safe AI.

www.alignmentforum.org

Practitioner

Weights & Biases Blog

High-quality articles on training dynamics, experiment tracking, and applied ML. Especially good on debugging training runs and understanding loss landscapes.

wandb.ai

CommunityLearning Materials.

ML Research & Papers

arXiv: cs.LG / cs.AI

Papers With Code

Hugging Face Papers

Anthropic Research

DeepMind Research

Distill.pub

Mathematical Foundations

3Blue1Brown

MIT OCW: Linear Algebra (18.06)

MIT OCW: Probability (6.041)

The Matrix Calculus You Need for Deep Learning

Paul's Online Math Notes

Mathematics for Machine Learning (Book)

Space Science & AI

NASA Technical Reports Server

SpaceML

ESA Open Science Hub

ADS: Astrophysics Data System

Zooniverse

fast.ai: Practical Deep Learning

Core AI Education

Stanford CS229: Machine Learning

Stanford CS224N: NLP with Deep Learning

Deep Learning Book (Goodfellow et al.)

Andrej Karpathy: Neural Networks: Zero to Hero

The Alignment Forum

Weights & Biases Blog

Community
Learning Materials.