Links

Books

Natural Language Processing

• Jurafsky and Martin, Speech and Language Processing
• Manning and Schuetze, Foundations of Statistical Natural Language Processing
• Bird, Klein and Loper, Natural Language Processing with Python

Machine Learning

• Bishop, Pattern Recognition and Machine Learning
• Murphy, Machine Learning: A Probabilistic Perspective

Scala

• Horstmann, Scala for the Impatient. Excellent for diving quickly into Scala.
• Odersky et al, Programming in Scala (2nd edition). Excellent and authorative (Odersky is the creator of the Scala language).
• Wampler and Payne, Programming Scala.
• Pollack, Beginning Scala
• For other options, see this list of books for learning Scala.

Visualization

• Tufte, The Visual Display of Quantitative Information

Other

• White, Hadoop: The Definitive Guide
• Manning et al, Introduction to Information Retrieval

Scala tutorials

• My Scala tutorials. They are oriented toward first time programmers, but contain much that is useful for experienced programmers getting familiar with Scala.
  1. The Scala REPL, expressions, variables, basic types, simple functions, saving and running programs, comments.
  2. Tuples, Lists, methods on Lists and Strings
  3. Conditional execution with if-else blocks and matching
  4. Iterating, mapping, filtering and counting
  5. Regular expressions and matching with them
  6. Regular expression matching and substitution with the Regex API
  7. Maps, Sets, groupBy, Options, flatten, flatMap
  8. Word counting, scala.io.Source, file access, flatMap, mutable Maps
  9. Objects, classes, inheritance, traits, Lists with multiple related types, apply
  10. Scripting, compiling, main methods, return values of functions
  11. SBT, scalabha, packages, build systems
  12. Code blocks, coding style, closures, Scala documentation project.
  13. Variations for computing results from sequences in Scala
  14. Student questions about Scala, Part 1
  15. Student questions about Scala, Part 2
  16. Incorporating and using OpenNLP in Scalabha’s SBT build system
  17. Basic XML processing with Scala
  18. Processing JSON in Scala using Jerkson
• Scala School: Resources created by Twitter for training programmers new to Scala.
• Stackoverflow Scala Tutorial: organized links to answers on Stackoverflow that cover many questions in Scala.
• SimplyScala: tutorial and online REPL for beginning programmers
• Kojo: a learning environment that includes an interactive Scala tutorial (which was adapted from SimplyScala)

Applications and Toolkits

Note: These lists are certainly not exhaustive. Suggestions for additions welcome!

Natural language processing and machine learning

• Chalk: my evolving Scalafication of OpenNLP (see below)
• Nak: a Java/Scala machine learning toolkit (forked from OpenNLP and used by Chalk)
• OpenNLP: a Java toolkit for NLP
• Breeze: a Scala toolkit for NLP and learning
• Mallet: a Java toolkit for NLP that includes many classifiers and topic modeling
• Junto: a Java/Scala toolkit for label propagation

Other useful and relevant software

• Hadoop: Open source MapReduce implementation and related tools.
• Scoobi: Scala wrapper to Hadoop.
• Spark: Scala system for distributed computation (similar to Hadoop, but better for iterative algorithms)
• Storm: Real-time scalable, distributed processing system.
• Akka: Java/Scala system for concurrent, distributed computing.

Interesting and relevant programming blog posts

• Implementing real-time trending topics in Storm

Interesting and relevant media

• Twitter Bots Fight It Out to See Who’s the Most Human