7  Data Science, Machine Learning, and Artificial Intelligence

This page provides a comprehensive collection of resources on data science, machine learning, and artificial intelligence. It includes links to courses, books, and tutorials.

7.1 Data Science

7.1.1 Courses

  1. Data 8: The Foundations of Data Science
  2. Introduction to Data Science
  3. My Data Science Master’s
  4. Data Science Master’s
  5. School of Data
  6. Data Science Courses and Resources
  7. How To Learn Data Science If You’re Broke
  8. Computing for Information Science
  9. Data Science Learning Path For Complete Beginners
  10. Nonvisual Data Science Workshop Series
  11. Data Dojo Würzburg

7.1.2 Books

  1. 54 Best Data Science Books in 2023
  2. Critical Dataset Studies Reading List
  3. Elements of Data Science
  4. The Art of Data Science
  5. Readings in Applied Data Science
  6. AI/ML/DS Book Club
  7. Data Science Resources
  8. Data Science Learning Resources
  9. Data Science Live Book

7.1.3 Tutorials, Resources, and Projects

  1. List of Data Science Blogs
  2. Data Science Primer
  3. Data Science Cheatsheet
  4. 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets
  5. Coding habits for data scientists
  6. Data Science by Design (DSxD)
  7. The Data Scientist
  8. The 10 Data Mining Techniques Data Scientists Need for Their Toolbox
  9. Data Science Tutorials
  10. Our Coding Club
  11. Data Science - Resources for Python & R
  12. Preparing for the Transition to Data Science
  13. Free Data Science Resources for Beginners
  14. Data Science Glossary on Kaggle
  15. DS/ML/AI Blog
  16. mljar: Outstanding Data Science Tools
  17. Data Analysis For Social Scientists
  18. Sports Data Science Tutorials and Examples
  19. Advice to aspiring data scientists: start a blog

7.2 Machine Learning

7.2.1 Books

  1. Supervised Machine Learning for Science
  2. Feature Engineering A-Z
  3. Models Demystified

7.2.2 Readings

  1. Machine Learning University
  2. Yellowbrick: Machine Learning Visualization
  3. Visual Intro to ML
  4. Machine Learning Basics 1
  5. Machine Learning Basics 2
  6. End-to-End Machine Learning Library
  7. Hands-On Machine Learning with R
  8. FOUNDATIONS OF MACHINE LEARNING
  9. ML for Everyone
  10. Machine Learning Notebooks
  11. Interpretable Machine Learning
  12. Machine Learning for Humans
  13. Machine Learning Explained: Algorithms Are Your Friend
  14. A Guide to Learning with Limited Labeled Data
  15. Kaggle Winner’s Blog
  16. Machine Learning and Data Science Applications in Industry
  17. The Illustrated Machine Learning website
  18. Machine Learning Mastery
  19. ML for Science
  20. In-depth introduction to machine learning in 15 hours of expert videos
  21. Python ML Tutorial
  22. Visualize Machine Learning data
  23. Made With ML
  24. Amazon Machine Learning
  25. Azure Machine Learning
  26. Google Prediction API
  27. BigML
  28. Visual ML

7.2.3 Tutorials, Resources, and Projects

  1. How to choose a good evaluation metric for your Machine learning model
  2. ML Data Repository
  3. The Best Machine Learning Resources
  4. ML Google
  5. Santander ML Explainability
  6. Best GitHub Repositories for ML
  7. 101 machine learning algorithms for data science with cheatsheets
  8. Commonly used Machine Learning Algorithms
  9. modelStudio and The Grammar of Interactive Explanatory Model Analysis
  10. Supervised ML in R
  11. MACHINE LEARNING QUESTIONS
  12. ML101 Tutorial
  13. ML Tutorial
  14. Scikit learn in Machine Learning
  15. Machine Learning Tutorials
  16. The Ultimate FREE Machine Learning Study Plan
  17. 100 Days of Machine Learning Coding
  18. 150 of the Best Machine Learning, NLP, and Python Tutorials
  19. Code for Workshop: Introduction to Machine Learning with R
  20. Machine Learning Crash Course with TensorFlow APIs
  21. Intro to ML with R Slides
  22. A Machine Learning Course with Python
  23. Mathematics for Machine Learning
  24. Matrix Methods In Data Analysis, Signal Processing, And Machine Learning
  25. Machine Learning Zoomcamp
  26. Feature Selection Techniques in Machine Learning with Python
  27. Machine Learning Projects
  28. Randy Olson’s data analysis and machine learning projects
  29. Class Imbalance
  30. Anomaly Detection for Dummies
  31. Assorted ML Tutorials

7.3 Artificial Intelligence

7.3.1 Books and Readings

  1. Applied AI
  2. Microsoft Artificial Intelligence for Beginners
  3. AI Reading List
  4. Elements of AI
  5. Introduction to Deep Learning
  6. 12 Steps to Applied AI
  7. AI Experiments
  8. Deep Learning
  9. Neural Networks and Deep Learning
  10. Artificial Intelligence in Future and Present
  11. Stanford AI Lab
  12. AI Research Experiences
  13. Deep Learning Fundamentals
  14. TensorFlow, Keras and deep learning, without a PhD
  15. Convolutional Neural Networks for Visual Recognition
  16. Introduction to Natural Language Processing
  17. Solving 90% of NLP problems
  18. A test of artificial intelligence

7.3.2 Tutorials and Resources

  1. How to not overfit?
  2. HOW TO USE DEEP LEARNING TO IDENTIFY WILDLIFE
  3. AI Summer

7.3.3 Tools

  1. Face2Face
  2. Voice Cloning

7.4 Statistics and Computer Science

7.4.1 Books and Readings

  1. From Zero to Research Scientist full resources guide
  2. Intro to Stat Learning 1
  3. Intro to Stat Learning 2
  4. Introduction to Causal Inference
  5. Visual Guides for Causal Inference
  6. A Gentle Introduction to Graph Neural Networks
  7. Turi Create - development of custom machine learning models

7.4.2 Tutorials and Resources

  1. Principal component analysis
  2. Understanding UMAP
  3. t-Distributed Stochastic Neighbor Embedding (t-SNE)

7.5 Blogs

  1. Sebastian Raschka
  2. Aurimas Racas
  3. The Analytics Lab
  4. Shirin Elsinghorst
  5. Christina Levengood
  6. Ethan Rosenthal
  7. Rachel Thomas
  8. LIIP
  9. Data Science Dojo

7.6 Forecasting and Prediction

  1. Forecasting: Principles and Practice
  2. Ad Click Prediction
  3. Facebook Prophet
  4. Forecasting with Neural Network Autoregression
  5. Neural Network Playground
  6. fast.ai—Making neural nets uncool again
  7. Predictive Hacks

7.7 Health

  1. Covid-19 Data Science
  2. Machine Learning For Healthcare
  3. Population health analytics
  4. Jameel Clinic
  5. Medical AI Bootcamp
  6. Shah Lab AI
  7. Build a Recommender Engine for Medical Research Papers
  8. RECONLearn
  9. RECON
  10. NVIDIA - AI and Machine Learning for Healthcare
  11. IPUMS DHS Research
  12. Rajpurkar Lab
  13. Institute for Computational Imaging and AI in Medicine

7.8 Journals

  1. TOP PUB
  2. Harvard Data Science Review
  3. Machine Learning in Public Policy

7.9 Newspaper Articles and Newsletters

  1. The Facebook Scandal - or how to predict psychological traits from Facebook likes.
  2. How to solve a business problem using data
  3. 13 Essential Newsletters for Data Scientists: Remastered
  4. The economics of artificial intelligence