Data Science Resources

Tutorials

Rutgers Resources

Non-Rutgers Resources

For Data

Tutorials and Documentation

Other

  • Google Colab for free access to GPU machines
  • Grus, Data Science from Scratch (O’Reilly); a great introductory book for anyone new to Python and/or Data Science

“Classic” Books

  • Mitchell, Machine Learning (McGraw-Hill)
  • Russell and Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall)
  • McKinney, Python for Data Analysis (a.k.a. “The pandas Book”) (O’Reilly)
  • Manning and Schütze, Foundations of Statistical Natural Language Processing (MIT Press)
  • Jurafsky and Martin, Speech and Language Processing (Prentice Hall)
  • Bird, Klein, and Loper, Natural Language Processing with Python (a.k.a. “The nltk Book”) (O’Reilly)