What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Key benefits

Implement AI techniques to build smart applications using Deeplearning4j

Perform big data analytics to derive quality insights using Spark MLlib

Create self-learning systems using neural networks, NLP, and reinforcement learning

Description

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.

Who is this book for?

This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

What you will learn

Manage Artificial Intelligence techniques for big data with Java

Build smart systems to analyze data for enhanced customer experience

Learn to use Artificial Intelligence frameworks for big data

Understand complex problems with algorithms and Neuro-Fuzzy systems

Design stratagems to leverage data using Machine Learning process

Apply Deep Learning techniques to prepare data for modeling

Construct models that learn from data using open source tools

Analyze big data problems using scalable Machine Learning algorithms

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

€36.99

€32.99

€36.99

Total € 106.97

FAQs

How do I buy and download an eBook?

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

You may make copies of your eBook for your own use onto any machine
You may not pass copies of the eBook on to anyone else

How can I make a purchase on your website?

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

Register on our website using your email address and the password.
Search for the title by name or ISBN using the search option.
Select the title you want to purchase.
Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title.
Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)

Where can I access support around an eBook?

If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
To view your account details or to download a new copy of the book go to www.packtpub.com/account
To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us

What eBook formats do Packt support?

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks?

You can get the information you need immediately
You can easily take them with you on a laptop
You can download them an unlimited number of times
You can print them out
They are copy-paste enabled
They are searchable
There is no password protection
They are lower price than print
They save resources and space

What is an eBook?

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.

Anway Jun 27, 2018

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques This book bridges a big gap between today's technology and tomorrow's outlook and enables technologists to take a leap into the future. Ideal for developers, designers, data science enthusiast to get started into the journey of Artificial intelligence in the world of big data. Anand very articulately carries the reader right from the beginning concepts of big data, artificial intelligence, machine learning, natural language processing, using statistical methods, etc. into the very intricate details of the technology. Anand has also included snippets of sample code in almost every chapter, while explaining the practical usage of every aspect of the theories he puts forward. The author has kept the book structure very simple with starting from absolute basics of the concept as observed in day-to-day life, moving on to how technology takes inspiration from life, moving on how technology can solve those life problems. At the end of every chapter, the author gives FAQs about the chapter, which basically serve as a synopsis of the chapter, giving the reader a quick revision of what he/she learned in the chapter. And after the FAQs, the author ends the chapter summarizing what was discussed in that chapter and quickly sets up the context of the next chapter.

Amazon Verified review

Avadhoot Aug 24, 2018

This is very handy book for data engineers. With the advances in Machine Learning and AI, almost all applications are now getting powered by ML. Typically, there are data scientists who study the data and put together the representative models using Python + Jupyter combination. However, when these models (building and execution) need to be put into production, the traditional 'Data Engineers' need to rewrite this whole code in Big Data technologies and also be responsible for its lifecycle management. What I like about this book is that it explains all the concepts (data acquisition, representation, storage, preprocessing, ML algorithms, accuracy measurement, parameter tuning, pipelining etc) keeping Big Data eco system in mind. All the code examples use Spark and SparkML and implemented in Java which are the most reliable and performant technologies for Big Data Analytics.The other good thing about this book is that it explains the theory in a very systematic manner but does not stop at theory. Each chapter has several practical examples and FAQs which are very useful too. Finally, the whole process is effectively explained using the Cyber Security as a case study.I think the best use of this book is to 1. Scan through it once to understand the whole gambit of things 2. Keep it as a reference book when you are solving some real problems using Big Data, AI and ML.

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

What do you get with eBook?