How Long to Read Large Scale Machine Learning with Spark

How Long Does it Take to Read Large Scale Machine Learning with Spark?

It takes the average reader 5 hours and 40 minutes to read Large Scale Machine Learning with Spark by Rezaul Karim

Assuming a reading speed of 250 words per minute. Learn more

Description

Build robust machine learning applications with Spark at scaleAbout This Book* Get the most up-to-date book on the market that focuses on design, engineering, and scalable solutions in machine learning with Spark 2* We use Spark's machine learning library in a big data environment* You will learn to develop high-value applications at scale with ease and a personalized designWho This Book Is ForThis book caters to data science engineers and scientists working with large and complex data sets. You should be familiar with the basics of machine learning concepts, statistics, and computational mathematics. Knowledge of Scala and Java is advisable.What You Will Learn* Understand R programming language and its ecosystem of packages for data science* Decide on the correct approach before solving a problem* Obtain and clean data before processing it* Master the essential exploratory techniques for summarizing data* Examine various machine learning prediction models* Explore the H2O analytics platform in R for deep learning* Apply data mining techniques to the available datasets* Work with interactive visualization packages in R* Latch on to the right approach to build data productsIn DetailScaling out and deploying algorithms, interactions, and clustering are crucial steps in the process of optimizing any application. By maintaining and streaming data, Spark can figure out when to cache data in-memory, 100x faster than Hadoop and Mahoot. This means data streaming and analytics can run and complete jobs a lot quicker, making Spark ideal for large data-intensive applications.This book focuses on design, engineering, and scalable solutions in machine learning with Spark. You will learn how to install Spark with all new features as in the latest version Spark 2. You will also get to grips with Spark MLlib and Spark ML and its implementation for machine learning algorithms. Moving ahead, we'll explore about important concepts such as Dataframes and advanced feature engineering. After studying more about the development and deployment of an application, you will also find out about the other external libraries available for your data analysis.

How long is Large Scale Machine Learning with Spark?

Large Scale Machine Learning with Spark by Rezaul Karim is 340 pages long, and a total of 85,000 words.

This makes it 115% the length of the average book. It also has 104% more words than the average book.

How Long Does it Take to Read Large Scale Machine Learning with Spark Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 44 minutes to read Large Scale Machine Learning with Spark aloud.

What Reading Level is Large Scale Machine Learning with Spark?

Large Scale Machine Learning with Spark is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Large Scale Machine Learning with Spark?

Large Scale Machine Learning with Spark by Rezaul Karim is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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