Learn ML / Extras
Keep learning, get connected and get inspired.
Extra resources for learning ML. Walk the campus, meet the giants of maths and AI, and collect the pieces of your own neural network. Every resource is also listed below the game.
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- Inside: ←→ walk · ↑ or Enter talk or look · M map
What is here
Lists
Blogs and articles
- Lil'Log, Lilian Wengin-depth posts on ML research
- Distillinteractive articles · archive, 2016–2021
- Quanta Magazinestories about maths and computer science research, written for everyone
- Terence Tao, What's new (UCLA)a Fields Medallist's blog on maths research, with career advice
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- Chris Olah, blogvisual explanations of neural networks
- Andrej Karpathy, blogblog posts on neural networks
- Ferenc Huszár, inFERENCeML research ideas, with the maths
- Andrew Gelman et al., Statistical Modeling, Causal Inference, and Social Science (Columbia)statistics blog
Podcasts
- Latent SpaceAI engineering and research
- The TWIML AI Podcastinterviews with researchers
- Data Skepticdata science and ML
- Data Stories, Enrico Bertini & Moritz Stefanerdata visualisation
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- Talking Machines, Katherine Gorman & Ryan AdamsML research · archive
- Learning Machines 101, Richard Golden (UT Dallas)ML concepts · archive
Video channels
- 3Blue1Brown, Grant Sandersonvisual maths and neural networks
- AI Coffee Break with Letitia, Letitia Parcalabescu (Romania)recent ML papers explained
- Serrano.Academy, Luis Serrano (Colombia)ML maths explained visually
- Two Minute Papers, Károly Zsolnai-Fehér (Hungary)AI research in short videos
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- Tibees, Toby Hendy (New Zealand)maths, physics and the history of science
- Mathologer, Burkard Polster (Monash University, Australia)maths
- Numberphilemaths
- Gresham College (London)free public lectures by professors, including maths
- The Royal Institution (London)science lectures, including Hannah Fry's Christmas Lectures
- Professor Leonardfull university maths lectures
- Crash Course Statisticsstatistics
- Socraticamaths and programming
- N.J. Wildberger (UNSW)maths lectures
- N.J. Wildberger, blogmaths
Communities
- Women in Machine Learning (WiML)community · workshops
- Black in AIcommunity · workshops
- LatinX in AIcommunity · workshops
- Queer in AIcommunity · workshops
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- Deep Learning Indabapan-African ML community and summer school
- KhipuLatin American AI community and school
- Women in Data Science (WiDS)worldwide community · conferences
- Organization for Computational Neurosciences (CNS*org)community · annual CNS conference
- comp-neuro mailing listjobs, schools and events in computational neuroscience
- Neuromatchglobal community behind the Neuromatch courses
- r/mathforum
- r/mathematicsforum
Practice problems
- Exercismcoding exercises in 70+ languages, with mentors
- Codewarscoding exercises
- Project Eulermaths and programming problems
- Advent of Codea programming puzzle every day in December, with an archive of past years
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- Rosalindbioinformatics problems, from counting DNA bases to assembling genomes
- Sasha Rush, Tensor Puzzles (Cornell)short puzzles to learn tensor programming in PyTorch, without loops
- Deep-MLmachine learning coding problems
Reading lists
- John Baez, Books for learning mathematicsreading list
- Tibees, Books for learning mathematicsvideo · book recommendations
Inspiration
- Hypatia (Alexandria, Egypt)mathematician, astronomer and philosopher; the great teacher of Alexandria
- Brahmagupta (India)first to treat zero as a number, with rules for calculating with it (628)
- Muhammad ibn Musa al-Khwarizmi (Baghdad)scholar at the House of Wisdom; his book gave us 'algebra', his name 'algorithm'
- Sophie Germain (France)taught herself maths; proved a key result on Fermat's Last Theorem and won the Paris Academy's grand prize for her theory of elasticity
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- Mary Somerville (Scotland)her books brought physics and astronomy to a wide public; one of the first two women elected to the Royal Astronomical Society (1835)
- Ada Lovelace (UK)wrote the first computer program
- Sofya Kovalevskaya (Russia)first woman to earn a doctorate in mathematics in the modern sense (1874), and the first woman full professor of maths in modern Europe
- Emmy Noether (Germany)linked symmetry to conservation laws; a founder of modern algebra
- Srinivasa Ramanujan (India)self-taught genius of number theory
- Mary Cartwright (UK)early work on what became chaos theory
- Sheila Scott Macintyre (UK)Scottish mathematician known for her work in analysis
- Dorothy Hodgkin (UK)Nobel Prize for X-ray crystallography; revealed the structures of penicillin, vitamin B12 and insulin
- Rosalind Franklin (UK)her X-ray work revealed the double-helix structure of DNA
- Dorothy Vaughan (USA)led the West Area Computing unit at NACA and taught her team to program
- Katherine Johnson (USA)calculated the trajectories for NASA's first crewed flights
- Margaret Masterman (UK)founded the Cambridge Language Research Unit; pioneer of machine translation
- Kathleen Booth (UK)invented assembly language (1947)
- Alexey Ivakhnenko (Ukraine)developed the group method of data handling; one of the founders of deep learning
- Margaret Hamilton (USA)led the team at MIT that wrote the on-board flight software for the Apollo missions
- Shun-ichi Amari (Japan)early learning rules for neural networks; pioneer of information geometry
- Kunihiko Fukushima (Japan)invented the neocognitron (1979), a forerunner of convolutional networks
- Seppo Linnainmaa (Finland)created the modern version of backpropagation (1970)
- Karen Spärck Jones (UK)invented the term weighting behind search engines
- Joan Birman (USA)knot theory and braid groups
- Ingrid Daubechies (Belgium)wavelets, the basis of modern signal and image processing
- Stephen Smale (USA)Fields Medal; dynamical systems
- Persi Diaconis (USA)probability, from card shuffling to Markov chains
- Vladimir Voevodsky (Russia)Fields Medal; computer-checked proofs
- Maryam Mirzakhani (Iran)first woman to win the Fields Medal, for work on the geometry of curved surfaces
- Maryna Viazovska (Ukraine)Fields Medal 2022, for solving the sphere-packing problem in 8 and 24 dimensions
- Fei-Fei Li (China / USA)created ImageNet, which started the deep-learning boom
- Timnit Gebru (Ethiopia)founded Black in AI with Rediet Abebe; research on bias in AI
- Regina Barzilay (Moldova / Israel / USA)machine learning for drug discovery and cancer diagnosis
- Daphne Koller (Israel / USA)probabilistic graphical models; now machine learning for drug discovery
- Geoffrey Hinton, interview (CBC Radio, Canada)audio interview