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R Deep Learning Projects: Master the techniques to design and develop neural network models in R
R Deep Learning Projects: Master the techniques to design and develop neural network models in R

5 real-world projects to help you master deep learning concepts

Key Features

  • Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more
  • Get to grips with R's impressive range of...
Splunk Certified Study Guide: Prepare for the User, Power User, and Enterprise Admin Certifications
Splunk Certified Study Guide: Prepare for the User, Power User, and Enterprise Admin Certifications

Make your Splunk certification easier with this exam study guide that covers the User, Power User, and Enterprise Admin certifications. This book is divided into three parts. The first part focuses on the Splunk User and Power User certifications starting with how to install Splunk, Splunk Processing Language (SPL), field...

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most...

Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
Machine Learning with R - Second Edition
Machine Learning with R - Second Edition

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
RabbitMQ Cookbook
RabbitMQ Cookbook

Knowing a reliable enterprise messaging system based on the AMQP standard can be an essential for today’s software developers. This cookbook helps you learn all the basics of RabbitMQ through recipes, code, and real-life examples.

Overview

  • Create scalable distributed applications with RabbitMQ
  • ...
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
  • ...
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as...
Pro Linux High Availability Clustering
Pro Linux High Availability Clustering

Pro Linux High Availability Clustering teaches you how to implement this fundamental Linux add-on into your business. Linux High Availability Clustering is needed to ensure the availability of mission critical resources. The technique is applied more and more in corporate datacenters around the world. While lots of documentation...

Natural Language Processing with Java (Community Experience Distilled)
Natural Language Processing with Java (Community Experience Distilled)

Explore various approaches to organize and extract useful text from unstructured data using Java

About This Book

  • Integrate basic tasks to tackle more complex NLP problems
  • Train NLP models to address domain-specific problem areas
  • Learn to use a variety of core NLP techniques...
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