Coursera https://www.coursera.org/
Udacity https://www.udacity.com/
Mooc https://mooc.es/
Miriadax https://miriadax.net/home
Deep Learning https://d2l.ai/index.html
Machine learning con formulas https://github.com/mml-book/mml-book.github.io
Estadistica https://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf
Ciencia de datos libros y cursos gratis https://hablandoendata.com/
DeepMind https://deepmind.com/
Open IA https://openai.com/
Google IA https://ai.google/
Facebook IA https://ai.facebook.com/
Articulos con codigo https://paperswithcode.com/methods
Articulos con codigo https://paperswithcode.com/sota
Pix2Pix https://phillipi.github.io/pix2pix/
https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf
https://storage.googleapis.com/deepmind-data/assets/papers/DeepMindNature14236Paper.pdf
https://arxiv.org/pdf/1804.03608.pdf
https://distill.pub/2020/growing-ca/
http://www.matthewtancik.com/nerf
https://lllyasviel.github.io/PaintingLight/
https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras
Series de tiempo https://github.com/giotto-ai/giotto-time
https://joaquinamatrodrigo.github.io/
https://www.freecodecamp.org/news/
http://dataanalysis.blogs.uoc.edu/
https://www.technologyreview.es/
Descubriendo la Inteligencia Artificial https://www.youtube.com/channel/UCrEM9nM7pxy0TtgDyTXljFQ/featured
AMP Tech https://www.youtube.com/channel/UCG4H4Qf-ZU9Ycr_PQ4egqDQ
Ligdi Gonzalez https://www.youtube.com/channel/UCLJV54sFqPiH4MYcJKvGesg
Dot CSV https://www.youtube.com/channel/UCy5znSnfMsDwaLlROnZ7Qbg
Siraj Raval https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A
Sentdex https://www.youtube.com/user/sentdex
Lex Fridman https://www.youtube.com/channel/UCSHZKyawb77ixDdsGog4iWA
Deep Learning https://slideslive.com/38921751/track-1-session-4
Deep Learning https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI
Kaggle https://www.kaggle.com/
AIcrowd https://www.aicrowd.com/
NASA Python https://archive.org/details/comp3321/mode/2up/search/device
Cluster https://iartificial.net/clustering-agrupamiento-kmeans-ejemplos-en-python/
Deep https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
Tutorial LSTM https://machinelearningmastery.com/reshape-input-data-long-short-term-memory-networks-keras/
Tutorial LSTM https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/
preparacion de la serie https://stats.stackexchange.com/questions/31387/is-it-necessary-to-detrend-and-decycle-time-series-data-when-using-machine-learn
Jay Alammar http://jalammar.github.io/
Paper en 2 minutos https://www.wandb.com/
Series de tiempo https://machinelearningmastery.com/time-series-forecasting-methods-in-python-cheat-sheet/
Gan https://ajolicoeur.wordpress.com/
Elisa Cabana https://aprendeconeli.com/
https://rpubs.com/updragon/ggradar
https://experiments.withgoogle.com/collection/ai
https://playground.tensorflow.org/
https://magenta.tensorflow.org/
https://www.tensorflow.org/tutorials/keras/text_classification_with_hub
https://www.tensorflow.org/hub
https://tfhub.dev/s?module-type=text-embedding
https://scihub.wikicn.top/https://doi.org/10.1007/s13748-019-00203-0 (historia)
CS221 Artificial Intelligence
- Website: https://stanford-cs221.github.io/autumn2019/ (with exams + solutions)
- Lectures: https://www.youtube.com/watch?v=aIsgJJYrlXk&list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX&index=6&t=0s
- Cheat sheets: https://stanford.edu/~shervine/teaching/cs-221/cheatsheet-states-models
CS229 Machine Learning
- Website: http://cs229.stanford.edu/
- Lectures: https://see.stanford.edu/Course/CS229
- Cheat sheets: https://stanford.edu/~shervine/teaching/cs-229/
CS230 Deep Learning
- Website: https://cs230.stanford.edu/
- Lectures: https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb
- Cheat sheets: https://stanford.edu/~shervine/teaching/cs-230/
https://www.visualcapitalist.com/oldest-companies/
https://awesomeopensource.com/project/EthicalML/awesome-production-machine-learning
https://drive.google.com/drive/folders/1m1FoUv66qlZgn2g76HHMzLq3QfydKC--