This document centralizes all sorts of references available to learn about machine learning in any language.
The goal is to have hub for reference of YouTube channels, books, articles, etc.
Feel free to reach me out to suggest articles, topics, courses, books, etc...
- Artificial Intelligence: A Modern Approach
- Alternative Data: Capturing the Predictive Power of Big Data for Investment Success
- Architects of Intelligence: The truth about AI from the people building it
- Big Data: A Revolution that will Transform How We Live, Work and Think
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
- Dive into Deep Learning
- Fundamentals of Machine Learning for Predictive Data Analytics
- Inteligência Artificial. Uma Abordagem de Aprendizado de Máquina
- The Art of Data Science
- The Book of Why: The New Science of Cause and Effect
- The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
- Handbook of Neuroevolution Through Erlang
- How to Create a Mind: The Secret of Human Thought Revealed
- Prediction Machines: The Simple Economics of Artificial Intelligence
- Superintelligence: Paths, Dangers, Strategies
- The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
- Understanding Machine Learning: From Theory to Algorithms
- Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Graph Algorithms: Practical Examples in Apache Spark and Neo4j
- Graph Databases: New Opportunities for Connected Data
- Introduction to Algorithmic Marketing
- Advances in Financial Machine Learning
- Big Data and Machine Learning in Quantitative Investment
- Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging
- Machine Learning for Asset Managers
- Machine Learning in Finance: From Theory to Practice
- Python for Finance: Mastering Data-Driven Finance
- Quantitative Risk Management
- Building Machine Learning Powered Applications: Going from Idea to Product
- Data Science from Scratch: First Principles with Python
- Deep Learning with Python
- Deep Learning from Scratch: Building with Python from First Principles
- Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Introduction to Machine Learning with Python: A Guide for Data Scientists
- Machine Learning Pocket Reference: Working with Structured Data in Python
- Practical Deep Learning for Cloud, Mobile, and Edge
- Practical Time Series Analysis: Prediction with Statistics and Machine Learning
- Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
- An Introduction to Statistical Learning with Applications in R
- Deep Learning with R
- R for Data Science
- Machine Learning with Swift
- La Politique des Grands Nombres: Histoire de la Raison Statistique
- Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
- Think Stats
- Alura - ML | Alura - DS
- AlgoExpert
- AWS - ML Trainings
- DataCamp
- Elements of AI
- Google | Machine Learning Crash Course
- Kaggle - Learn
- LinkedIn Learning - ML
- Microsoft | AI Business School | AcademIA | AI School
- Pluralsight - ML
- Stanford Online - AI & DS
- Udacity - AI School
- UNIVESP - Inteligência Artificial - Introdução
- University of Helsinki - MOOCs
- Stanford - Machine Learning
- FIA - Introdução ao Big Data
- USP - Introdução à Ciência da Computação com Python Parte 1
- USP - Introdução à Ciência da Computação com Python Parte 2
- HSE - Advanced Machine Learning Specialization
- Deep Learning Specialization
- IBM - Machine Learning with Python
- FourthBrain - ML Ops / ML Engineer
- Machine Learning for Trading Specialization
- Machine Learning with TensorFlow on Google Cloud Platform Specialization
- Mathematics for Machine Learning Specialization
- UAB - Big Data – Introducción al uso práctico de datos masivos
- FIAP - MBA em Inteligência Artificial e Machine Learning (portuguese)
- USP São Carlos - MBA em Ciência de Dados
- Worldquant - MSc in Financial Engineering
- University of Texas at Austin - Master in Data Science
- Oxford - DPhil in Social Data Science
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Amazon
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Google
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Microsoft
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MIT
-
CQF Institute
- Apple Core ML
- BERT
- BERT as Service
- Detectron
- Keras
- Librosa
- Ludwig
- Magenta
- MLFlow
- Mxnet
- OpenCV
- Orange
- Polynote
- PyTorch
- Scikit-Learn
- SimpleCV
- Sktime
- Stanford CoreNLP
- TensorFlow
- Tesseract OCR
- Theano
- (2006) Reinforcement Learning for Optimized Trade Execution
- (2012) Optimal Execution and Block Trade Pricing: a general framework
- (2015) Volume Weighted Average Price Optimal Execution
- (2019) AI Pioneers in Investment Management
- (2019) Microstructure in the Machine Age
- (2001) Scaling to Very Very Large Corpora for Natural Language Disambiguation
- (2015) librosa: Audio and Music Signal Analysis in Python
- Amazon's Machine Learning University is making its online courses available to the public
- Cornell - Machine learning can predict market behavior
- Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help
- HBR - Data Scientist: The Sexiest Job of the 21st Century
- Data Science and the Art of Persuasion
- HBR - What Great Data Analysts Do — and Why Every Organization Needs Them
- How to Build a Machine Learning Project in Elixir
- Introducing Ludwig, a Code-Free Deep Learning Toolbox
- Introducing Neuropod, Uber ATG’s Open Source Deep Learning Inference Engine
- Meet Kedro, McKinsey’s first open-source software tool
- Open-sourcing Polynote: an IDE-inspired polyglot notebook
- Tech Skills of Tomorrow: Machine Learning
- Tracking Social Issues and Topics in Presidential Speeches
- Zero-shot Learning : An Introduction
- A-to-Z of AI
- Facebook AI
- Google AI
- IBM Artificial Intelligence
- Julia Academy
- Machine Learning Times
- Netflix - ML and Experimentation Platform
- NumFocus
- Open AI
- Ostagram | github
- Quansight
- Quanta Magazine - Artificial Intelligence
- Thalesians
- ThoughtWorks - Technology Radar
- Bloomberg AI
- Insper - Finance Hub
- Algorithmia
- AWS Blog
- Berkeley AI Research Blog
- Deepmind Blog
- Facebook - AI Blog
- Google - AI Blog
- IBM Research | IBM Watson
- KNIME Blog
- Neptune AI Blog
- Man AHL Technology Group
- NVIDIA - Developer Blog
- Open AI Blog
- Orange Blog
- Applied ML
- Awesome MLOps
- AWS - Machine Learning University Accelerated Natural Language Processing Class
- Chris Albon - Machine Learning Tutorials
- Machine Learning and Data Science Applications in Industry
- Finance Hub
- The NLP Pandect
- AI Brasil
- Abu Dhabi Machine Learning
- Hong Kong Machine Learning
- Nubank - Data Science & Machine Learning
- TensorFlow São Paulo
- Thalesians
- AQR - The Curious Investor
- DataFramed - DataCamp
- Inside Alana Podcast (portuguese)
- McKinsey on AI
- Quanta Magazine
- 3Blue1Brown
- Amazon - Machine Learning University
- AIEngineering
- Artificial Intelligence Podcast
- Diogo Cortiz
- Escola Livre de Inteligência Artificial
- Estatidados
- Lex Fridman
- O'Reilly
- PyData
- PyData - São Paulo
- Thalesians
- The Coding Train
- Tristan Behrens
- Tübingen Machine Learning