How Long to Read Applied Data Science Using PySpark

How Long Does it Take to Read Applied Data Science Using PySpark?

It takes the average reader 6 hours and 50 minutes to read Applied Data Science Using PySpark by Ramcharan Kakarla

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

Description

Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied Data Science Using PySpark is divided unto six sections which walk you through the book. In section 1, you start with the basics of PySpark focusing on data manipulation. We make you comfortable with the language and then build upon it to introduce you to the mathematical functions available off the shelf. In section 2, you will dive into the art of variable selection where we demonstrate various selection techniques available in PySpark. In section 3, we take you on a journey through machine learning algorithms, implementations, and fine-tuning techniques. We will also talk about different validation metrics and how to use them for picking the best models. Sections 4 and 5 go through machine learning pipelines and various methods available to operationalize the model and serve it through Docker/an API. In the final section, you will cover reusable objects for easy experimentation and learn some tricks that can help you optimize your programs and machine learning pipelines. By the end of this book, you will have seen the flexibility and advantages of PySpark in data science applications. This book is recommended to those who want to unleash the power of parallel computing by simultaneously working with big datasets. What You Will Learn Build an end-to-end predictive model Implement multiple variable selection techniques Operationalize models Master multiple algorithms and implementations Who This Book is For Data scientists and machine learning and deep learning engineers who want to learn and use PySpark for real-time analysis of streaming data.

How long is Applied Data Science Using PySpark?

Applied Data Science Using PySpark by Ramcharan Kakarla is 410 pages long, and a total of 102,500 words.

This makes it 138% the length of the average book. It also has 125% more words than the average book.

How Long Does it Take to Read Applied Data Science Using PySpark Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 20 minutes to read Applied Data Science Using PySpark aloud.

What Reading Level is Applied Data Science Using PySpark?

Applied Data Science Using PySpark 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 Applied Data Science Using PySpark?

Applied Data Science Using PySpark by Ramcharan Kakarla 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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