Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Computer Science
Năm:2021
In lần thứ:1st ed.
Ngôn ngữ:english
Trang:427
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.
