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Published 20 hours ago • verified publisher icon institutohumai
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Material de formación en ciencia de datos, aprendizaje automático, redes neuronales, python, computación y matemáticas!

Recursos abiertos para estudiar ciencia de datos y aprendizaje automático:

Introducción a la Programación
Cómo funciona una computadora (video)
El reto de las instrucciones exactas (video)
Curso de Introducción a los Algoritmos - códigofacilito
¿Qué es un entorno de desarrollo integrado? (video)
Anaconda ¿Qué es el Proyecto Jupyter? (video)
Consejos para empezar a programar (blog)
Aprender Python con Mimo (Aplicación móvil)
¿Qué es la Ciencia de Datos?
Computer Science fundamentals
How to Think Like a Computer Scientist - Rune academy
Python
Whirlwind Tour Of Python
Automate the Boring Stuff with Python
https://www.kaggle.com/
https://www.codewars.com/
Introduction to Computation and Programming Using Python ...
Cracking the Coding Interview - CIn UFPE
Curso Intro a Python - Humai
Curso Scraping - Humai
Sobre args y kwargs en Python
Sobre type hints en Python
Apuntes sobre curso de Udemy
Ciencia de Datos y Aprendizaje Automático
Laboratorio de Datos - Departamento de Física - Exactas UBA
Python Bootcamp
Data Science Handbook
Hands On ML
QuantEcon Data Science
PyData
Stanford Machine Learning
NYU Data Science
Harvard Data Science CS109
Análisis de datos - Humai
Talleres DS y ML - Humai
Intro a ML (notebooks)
Estadística y Probabilidad
https://seeing-theory.brown.edu/
https://www.khanacademy.org/
Introductory Statistics - 4th Edition - Elsevier
Introduction to Statistical Learning
Mathematical Statistics and Data Analysis (with ... - Amazon.com
Thinking Bayes Stats Python github
Computational Statistics Duke
Elements of Statistical Learning
Computer Age Statistical Inference: Algorithms, Evidence and ...
Elements of Causal Inference - Oapen
Elements of Information Theory (Wiley Series in ...
Probability Theory: The Logic of Science ... - Amazon.com
David MacKay: Information Theory, Inference, and Learning ...
Statistical Learning and Applications
Probability for CS
Probabilistic Graphical Models
Matématicas
https://www.khanacademy.org/
Linear Algebra Strang
Applied Linear Algebra
Calculus, Strang, MIT
Matrix Calculus
Mathematics for Machine Learning
Learning from Data, Strang
Calculus, Vol. 1: One-Variable Calculus, with an Introduction to
matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring
Mathematics for Computer Science - MIT ...
Chaos & Fractals
Deep Learning/IA
Artificial Intelligence: A Modern Approach
Deep Learning
Deep Learning with Python
Sutton Reinforcement Learning
https://github.com/Atcold/pytorch-Deep-Learning
Theoretical Foundations of Artificial General Intelligence Pei ...
https://paperswithcode.com/
CS221 Stanford IA
CS230 Stanford Deep Learning
Theoretical ML
Stanford Convolutional Networks for Visual
Bayesian Reasoning and Machine Learning - UCL
Larochelle
Superintelligence: Nick Bostrom, Napoleon Ryan - Amazon.com
https://github.com/dccuchile/CC6204
NLP
Speech and Language Processing - Stanford University
Stanford NLP
Stanford Deep NLP
https://github.com/graykode/nlp-tutorial
https://github.com/teticio/aventuras-con-textos
Huggingface NLP
Colecciones
Awesome NeuroAI
Awesome Match
Awesome Comp Neuro
Awesome Colabs
ML Tutorials
https://montrealartificialintelligence.com/academy/
https://sgfin.github.io/learning-resources
https://github.com/mrm8488/shared_colab_notebooks
https://github.com/DataScienceResearchPeru/OpenSource-RoadMap-DataScience
Neuro
NeuroMatch 2020
MAIN 2020
NeurIPS 2020
NeuroHack 2020
Dayan & Abbott, Theoretical Neuroscience
Fundamentals of Computer Neuroscience, Trappenberg
Mathematical foundations of neuroscience, Ermentrout, Terman
Berklee VS265: Neural Computation - Fall 2020
Aprendizaje por Refuerzo
Hands On RL
RL Notes
Berkleey RL

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Material de formación en ciencia de datos, aprendizaje automático, redes neuronales, python, computación y matemáticas!

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