atcold.github.io
DEEP LEARNING · Deep Learning
1 min · · DS-GA 1008 · SPRING 2021 · NYU CENTER FOR DATA SCIENCE INSTRUCTORS Yann LeCun & Alfredo Canziani LECTURES Wednesday 9:30 – 11:30, Zoom PRACTICA Tuesdays 9:30 – 10:30, Zoom FORUM r/NYU_DeepLearning… · Shared by 14, including Yann LeCun, Matt Shaffer
d2l.ai
Dive into Deep Learning — Dive into Deep Learning 0.16.1 documentation
· Shared by 18, including Thomas Telandro, Matt Shaffer, Kirk Borne
probml.github.io
Probabilistic Machine Learning: Advanced Topics
· @book{pml2Book, author = "Kevin P. Murphy", title = "Probabilistic Machine Learning: Advanced Topics", publisher = "MIT Press", year = 2023, url = "probml.ai" } · Shared by 27, including Dr. Ganapathi Pulipaka 🇺🇸, Kirk Borne, Yves Mulkers, Matt Shaffer, andre hollstein
probml.github.io
Probabilistic Machine Learning: An Introduction
· @book{pml1Book, author = "Kevin P. Murphy", title = "Probabilistic Machine Learning: An introduction", publisher = "MIT Press", year = 2021, url = "http://mlbayes.ai" } · Shared by 59, including ipfconline in vacation mode :) will be back Sept.4, Christopher D. Long, Mike Tamir, PhD, Harold Sinnott, Matt Shaffer, Dr. Ganapathi Pulipaka 🇺🇸, Kirk Borne, Nando 💪🇦🇺🇦🇷, hardmaru
github.com
GitHub - BoltzmannEntropy/interviews.ai
· This book was written for you: an aspiring data scientist with a quantitative background, facing down the gauntlet of the interview process in an increasingly competitive field. For most of you, th... · Shared by 29, including Nico Müller 🇺🇦, Matt Shaffer
bayesiancomputationbook.com
Welcome — Bayesian Modeling and Computation in Python
1 min · · Welcome to the online version Bayesian Modeling and Computation in Python. If you’d like a physical copy it can purchased from the publisher here or on Amazon. · Shared by 15, including Oleg Baskov, Sebastian Raschka, Matt Shaffer
amazon.com
Amazon.com: Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction: 9780521885881: Imbens, Guido W.: Books
5 min · · Shared by 5, including Matt Shaffer
mml-book.github.io
Mathematics for Machine Learning
· Shared by 28, including Matt Shaffer, Kirk Borne, Dean of Big Data 🎓 #DOBD, Dr. Ganapathi Pulipaka 🇺🇸, Ferenc Huszár
d2l.ai
Dive into Deep Learning¶
· You can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep learning. · Shared by 150, including ipfconline in vacation mode :) will be back Sept.4, Cyril Coste #DigitalTransformation, mza, Harold Sinnott, Alexander Seifert, Kirk Borne, Matt Shaffer, Siraj Raval, Arin Basu, Dr. Ganapathi Pulipaka 🇺🇸, Vikram Dutt, Nando de Freitas 🏳️🌈, AGI.Eth | MTL.Eth, Thomas Telandro, Andreas Mueller (also at mastodon), Christopher D. Long, Marcus Borba, sircharlsxavier, Esther Schindler, hardmaru
github.com
d2l-ai/d2l-en
· Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface. - d2l-ai/d2l-en · Shared by 24, including Dr. Ganapathi Pulipaka 🇺🇸, Jesús Torres 👩💻, Marcus Borba, Matt Shaffer, David Garner, Nico Müller 🇺🇦, Kirk Borne, Mike Tamir, PhD
Stanford University
Statistical Learning with Sparsity
2 min · · Book signing at the August 2015 JSM in Seattle. · Shared by 9, including Data Science Renee, Matt Shaffer
auapps.american.edu
ISLR Textbook Slides, Videos and Resources
· Amazon: http://www.amazon.com/dp/1461471370 Springer: http://www.springer.com/statistics/statistical+theory+and+methods/book/978-1-4614-7137-0 Author's website: http://www-bcf.usc.edu/~gareth/ISL/… · Shared by 5, including Matt Shaffer