Book Image

Machine Learning with Apache Spark Quick Start Guide

By : Jillur Quddus
Book Image

Machine Learning with Apache Spark Quick Start Guide

By: Jillur Quddus

Overview of this book

Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any purpose, from analyzing consumer habits to fighting disease and serious organized crime. Ultimately, we manage data in order to derive value from it, and many organizations around the world have traditionally invested in technology to help process their data faster and more efficiently. But we now live in an interconnected world driven by mass data creation and consumption where data is no longer rows and columns restricted to a spreadsheet, but an organic and evolving asset in its own right. With this realization comes major challenges for organizations: how do we manage the sheer size of data being created every second (think not only spreadsheets and databases, but also social media posts, images, videos, music, blogs and so on)? And once we can manage all of this data, how do we derive real value from it? The focus of Machine Learning with Apache Spark is to help us answer these questions in a hands-on manner. We introduce the latest scalable technologies to help us manage and process big data. We then introduce advanced analytical algorithms applied to real-world use cases in order to uncover patterns, derive actionable insights, and learn from this big data.
Table of Contents (10 chapters)

Who this book is for

This book is aimed at business analysts, data analysts, data scientists, data engineers, and software engineers for whom a typical day may currently involve analyzing data using spreadsheets or relational databases, perhaps using VBA, Structured Query Language (SQL), or even Python to compute statistical aggregations (such as averages) and to generate graphs, charts, pivot tables and other reporting mediums.

With the explosion of data in all of its various formats and frequencies, perhaps you are now challenged with not only managing all of that data, but understanding what it is telling you. You have most likely heard the terms big data, artificial intelligence, and machine learning, but now wish to understand where to start in order to take advantage of these new technologies and frameworks, not just in theory but in practice as well, to solve your business challenges. If this sounds familiar, then this book is for you!