Oblasti, naše knjige
Oblasti, drugi izdavači
Autor: Alex Kozlov
Broj strana: 310
ISBN broj: 9781785880889
Izdavač: PACKT PUBLISHING
Godina izdanja: 2016.
Kataloški broj: 0.
Pregleda (30 dana / ukupno): 20 / 1538
Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing.
This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees.
Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala.
Alex Kozlov is a multidisciplinary big data scientist. He came to Silicon Valley in 1991, got his Ph.D. from Stanford University under the supervision of Prof. Daphne Koller and Prof. John Hennessy in 1998, and has been around a few computer and data management companies since. His latest stint was with Cloudera, the leader in Hadoop, where he was one of the early employees and ended up heading the solution architects group on the West Coast. Before that, he spent time with an online advertising company, Turn, Inc.; and before that, he had the privilege to work with HP Labs researchers at HP Inc., and on data mining software at SGI, Inc. Currently, Alexander is the chief solutions architect at an enterprise security startup, E8 Security, where he came to understand the intricacies of catching bad guys in the Internet universe.
On the non-professional side, Alexander lives in Sunnyvale, CA, together with his beautiful wife, Oxana, and other important family members, including three daughters, Lana, Nika, and Anna, and a cat and dog. His family also included a hamster and a fish at one point.
Alex is an active participant in Silicon Valley technology groups and meetups, and although he is not an official committer of any open source projects, he definitely contributed to many of them in the form of code or discussions. Alexander is an active coder and publishes his open source code at https://github.com/alexvk. Other information can be looked up on his LinkedIn page at https://www.linkedin.com/in/alexvk.
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If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. You should be familiar with Java programming and data mining concepts to make the most of this book, but no prior experience with data mining packages is necessary.