terça-feira, 31 de março de 2015

Olá!

Amplie sua biblioteca! Confira a lista abaixo:



  1. An Introduction to Statistical Learning: with Applications in R
  2. Data Science for Business: What you need to know about data mining and data-analytic thinking
  3. Modeling With Data
  4. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners
  5. Data Mining: Practical Machine Learning Tools and Techniques
  6. Machine Learning – Wikipedia Guide
  7. Data Mining and Analysis: Fundamental Concepts and Algorithms
  8. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
  9. Probabilistic Programming & Bayesian Methods for Hackers
  10. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
  11. Inductive Logic Programming Techniques and Applications
  12. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
  13. An Introduction to Data Science
  14. Mining of Massive Datasets
  15. A Programmer’s Guide to Data Mining
  16. Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery
  17. Reinforcement Learning: An introduction
  18. Pattern Recognition and Machine Learning (Information Science and Statistics)
  19. Machine Learning, Neural and Statistical Classification
  20. Information Theory, Inference, and Learning Algorithms
  21. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
  22. Introduction to Machine Learning
  23. Data Mining and Business Analytics with R
  24. Machine Learning
  25. Think Bayes, Bayesian Statistics Made Simple
  26. Bayesian Reasoning and Machine Learning
  27. Gaussian Processes for Machine Learning
Recomendamos iniciar com o 22, 23, 13 e 8, em qualquer ordem.

Um abraço e até o próximo post!

2 comentários:

  1. Leandro
    Excelente dicas. Os temas são muito interessantes.
    Vou iniciar pelo 23, mas o 3 também chamou muito a atenção.
    Valeu!!!

    ResponderExcluir
    Respostas
    1. Olá Helder, obrigado pela visita! Ainda não li o 3, mas vou dar uma olhada agora que você falou. Abraço!

      Excluir