eBooks-it.org Logo
eBooks-IT.org Inner Image

Scala for Machine Learning

Scala for Machine Learning Image

Book Details:

Publisher:Packt Publishing
Series: Packt , Learning
Author:Patrick R. Nicolas
Edition:1
ISBN-10:1783558741
ISBN-13:9781783558742
Pages:420
Published:Dec 17 2014
Posted:Nov 19 2014
Language:English
Book format:PDF
Book size:4.88 MB

Book Description:

Leverage Scala and Machine Learning to construct and study systems that can learn from data About This BookExplore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and source codeLeverage your expertise in Scala programming to create and customize AI applications with your own scalable machine learning algorithmsExperiment with different techniques, and evaluate their benefits and limitations using real-world financial applications, in a tutorial styleWho This Book Is ForAre you curious about AI? All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book! In Detail 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 designs, biometrics, and trading strategies, to detection of genetic anomalies.The book begins with an introduction 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.Next, you'll learn about data preprocessing and filtering techniques. Following this, you'll move on to clustering and dimension reduction, Naive Bayes, regression models, sequential data, regularization and kernelization, support vector machines, neural networks, generic algorithms, and re-enforcement learning. A review of the Akka framework and Apache Spark clusters concludes the tutorial.

Download Link:

Related Books:

Optimization for Machine Learning

Optimization for Machine Learning Image
The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields.Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity...

Natural Language Annotation

For Machine Learning
Natural Language Annotation Image
Create your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle-the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don't need any programming or linguistics experience to get started.Using detailed examples at every step, you'll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project.Define a clear annotation goal before collecting your dataset (corpus)Learn tools for analyzing the linguistic c...

Clojure for Machine Learning

Clojure for Machine Learning Image
Successfully leverage advanced machine learning techniques using the Clojure ecosystem with this book and ebook Overview Covers a lot of machine learning techniques with Clojure programming. Encompasses precise patterns in data to predict future outcomes using various machine learning techniques Packed with several machine learning libraries available in the Clojure ecosystem In Detail Clojure for Machine Learning is an introduction to machine learning techniques and algorithms. This book demonstrates how you can apply these techniques to real-world problems using the Clojure programming language. It explores many machine learning techniques and also describes how to use Clojure to build machine learning systems. This book starts off by introducin...



2007 - 2021 © eBooks-IT.org