Hands-On Data Analysis with Scala: Perform data collection, processing, manipulation, and visualization with Scala - Info and Reading Options

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bMaster scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data/b h4Key Features/h4 ulliA beginner's guide for performing data analysis loaded with numerous rich, practical examples /li liAccess to popular Scala libraries such as Breeze, Saddle for efficient data manipulation and exploratory analysis /li liDevelop applications in Scala for real-time analysis and machine learning in Apache Spark/li/ul h4Book Description/h4 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 h4What you will learn/h4 ulliTechniques to determine the validity and confidence level of data /li liApply quartiles and n-tiles to datasets to see how data is distributed into many buckets /li liCreate data pipelines that combine multiple data lifecycle steps /li liUse built-in features to gain a deeper understanding of the data /li liApply Lasso regression analysis method to your data /li liCompare Apache Spark API with traditional Apache Spark data analysis/li/ul h4Who this book is for/h4 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

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