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TITLE: SCALA FOR MACHINE LEARNING
PUBLISHER: PACKT LANGUAGE: ENGLISH
LINK: http://is.gd/VxQBJa RELEASE TYPE: RETAIL
FORMAT: PDF RELEASE DATE: 2015.02.10
ISBN: 9781783558742 STORE DATE: 2014
SAVED.MONEY: 54 DOLLAR DISKCOUNT: 02 x 05MB
AUTHOR: PATRICK R. NICOLAS
BOOK
Leverage Scala and Machine Learning to construct and study
systems that can learn from data
About This Book* Explore a broad variety of data processing
machine learning, and genetic algorithms through diagrams
mathematical formulation, and source code* Leverage your
expertise in Scala programming to create and customize AI
applications with your own scalable machine learning algorithms*
Experiment with different techniques, and evaluate their benefits
and limitations using real-world financial applications, in a
tutorial styleWho This Book Is For
Are 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
