Szczegóły ebooka

Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition

Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition

Patrick R. Nicolas

Ebook
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic anomalies.

The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. You start by learning data preprocessing and filtering techniques. Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Naïve Bayes, hidden Markov models and Monte Carlo inference. Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, support vector machines, neural networks, and deep learning. You’ll move on to evolutionary computing, multibandit algorithms, and reinforcement learning.

Finally, the book includes a comprehensive overview of parallel computing in Scala and
Akka followed by a description of Apache Spark and its ML library. With updated codes based on the latest version of Scala and comprehensive examples, this book will ensure that you have more than just a solid fundamental knowledge in machine learning with Scala.
  • 1. Getting Started
  • 2. Data pipeline
  • 3. Data pre-processing
  • 4. Clustering
  • 5. Dimension reduction
  • 6. Naïve Bayes Classifiers
  • 7. Sequential data models
  • 8. Monte Carlo Inference
  • 9. Regression and Regularization
  • 10. Multi-layer perceptron
  • 11. Deep learning
  • 12. Kernel models & support vector machines
  • 13. Evolutionary computing
  • 14. Multi-arm bandits
  • 15. Reinforcement learning
  • 16. Parallelism in Scala and Akka
  • 17. Apache Spark
  • 18. Appendix Basic concepts
  • 19. References
  • Tytuł: Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
  • Autor: Patrick R. Nicolas
  • Tytuł oryginału: Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
  • ISBN: 9781787126206, 9781787126206
  • Data wydania: 2017-09-26
  • Format: Ebook
  • Identyfikator pozycji: e_15ps
  • Wydawca: Packt Publishing