Machine Learning with Apache Spark Quick Start Guide: Uncover patterns, derive actionable insights, and learn from big data using MLlib (Paperback)
  • Machine Learning with Apache Spark Quick Start Guide: Uncover patterns, derive actionable insights, and learn from big data using MLlib (Paperback)
zoom

Machine Learning with Apache Spark Quick Start Guide: Uncover patterns, derive actionable insights, and learn from big data using MLlib (Paperback)

(author)
£23.99
Paperback 240 Pages
Published: 26/12/2018
  • We can order this from the publisher

UK delivery within 4-5 weeks

  • This item has been added to your basket

Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-time

Key Features
  • Make a hands-on start in the fields of Big Data, Distributed Technologies and Machine Learning
  • Learn how to design, develop and interpret the results of common Machine Learning algorithms
  • Uncover hidden patterns in your data in order to derive real actionable insights and business value
Book Description

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.

What you will learn
  • Understand how Spark fits in the context of the big data ecosystem
  • Understand how to deploy and configure a local development environment using Apache Spark
  • Understand how to design supervised and unsupervised learning models
  • Build models to perform NLP, deep learning, and cognitive services using Spark ML libraries
  • Design real-time machine learning pipelines in Apache Spark
  • Become familiar with advanced techniques for processing a large volume of data by applying machine learning algorithms
Who this book is for

This book is aimed at Business Analysts, Data Analysts and Data Scientists who wish to make a hands-on start in order to take advantage of modern Big Data technologies combined with Advanced Analytics.

Publisher: Packt Publishing Limited
ISBN: 9781789346565
Number of pages: 240
Dimensions: 93 x 75 mm

You may also be interested in...

The Elements of Statistical Learning
Added to basket
Data Mining and Predictive Analysis
Added to basket
Twitter: A Digital Socioscope
Added to basket
Data Science for Business
Added to basket
Encyclopedia of Data Warehousing and Mining
Added to basket
£1183.00   £280.41
Hardback
Doing Data Science
Added to basket
£43.99
Paperback
Web Data Mining
Added to basket
£69.99
Hardback
Data Mining For Dummies
Added to basket
Mining Software Specifications
Added to basket
eXist
Added to basket
£35.99
Paperback

Please sign in to write a review

Your review has been submitted successfully.

env: aptum
branch: