Hands-On Data Analysis with Scala: Perform data collection, processing, manipulation, and visualization with Scala (English Edition)

Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data

Key Features

A beginner's guide for performing data analysis loaded with numerous rich, practical examples

Access to popular Scala libraries such as Breeze, Saddle for efficient data manipulation and exploratory analysis

Develop applications in Scala for real-time analysis and machine learning in Apache Spark

Book Description

Efficient business decisions with an accurate sense of business data helps in delivering better performance across products and services. This book helps you to leverage the popular Scala libraries and tools for performing core data analysis tasks with ease.

The book begins with a quick overview of the building blocks of a standard data analysis process. You will learn to perform basic tasks like Extraction, Staging, Validation, Cleaning, and Shaping of datasets. You will later deep dive into the data exploration and visualization areas of the data analysis life cycle. You will make use of popular Scala libraries like Saddle, Breeze, Vegas, and PredictionIO for processing your datasets. You will learn statistical methods for deriving meaningful insights from data. You will also learn to create applications for Apache Spark 2.x on complex data analysis, in real-time. You will discover traditional machine learning techniques for doing data analysis. Furthermore, you will also be introduced to neural networks and deep learning from a data analysis standpoint.

By the end of this book, you will be capable of handling large sets of structured and unstructured data, perform exploratory analysis, and building efficient Scala applications for discovering and delivering insights

What you will learn

Techniques to determine the validity and confidence level of data

Apply quartiles and n-tiles to datasets to see how data is distributed into many buckets

Create data pipelines that combine multiple data lifecycle steps

Use built-in features to gain a deeper understanding of the data

Apply Lasso regression analysis method to your data

Compare Apache Spark API with traditional Apache Spark data analysis

Who this book is for

If you are a data scientist or a data analyst who wants to learn how to perform data analysis using Scala, this book is for you. All you need is knowledge of the basic fundamentals of Scala programming. Table of Contents

Scala Overview

Data Analysis Life Cycle

Data Ingestion

Data Exploration and Visualization

Applying Statistics and Hypothesis Testing

Intro to Spark for distributed Data Analysis

Traditional Machine Learning for Data Analysis

Near Real Time Data Analysis using Streaming

Working with Data at scale

Hands-On Data Analysis with Scala: Perform data collection, processing, manipulation, and visualization with Scala (English Edition) EPUB, PDF, MOBI, AZW3, TXT, FB2, DjVu, Kindle电子书免费下载。