Machine Learning with PySpark
With Natural Language Processing and Recommender Systems

Price | $20.41 - $28.15
|
Rating | ![]() ![]() ![]() ![]() ![]() |
Author | Pramod Singh |
Publisher | Apress |
Published | 2019 |
Pages | 223 |
Language | English |
Format | Paper book / ebook (PDF) |
ISBN-10 | 1484241304 |
ISBN-13 | 9781484241301 |
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark.
Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You'll also see unsupervised machine learning models such as K-means and hierarchical clustering. A major portion of the book focuses on feature engineering to create useful features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and embedding for classification.
After reading this book, you will understand how to use PySpark's machine learning library to build and train various machine learning models. Additionally you'll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications.
Build a spectrum of supervised and unsupervised machine learning algorithms; Implement machine learning algorithms with Spark MLlib libraries; Develop a recommender system with Spark MLlib libraries; Handle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit model.
- Pramod Singh (3 books)
4 5 4
Similar Books
Machine Learning with PySpark, 2nd Edition
by Pramod Singh
Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems.Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the...
Price: $49.05 | Publisher: Apress | Release: 2022
Machine Learning with R, 2nd Edition
by Brett Lantz
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms an...
Price: $39.99 | Publisher: Packt Publishing | Release: 2015
Hands-On Machine Learning with Azure
by Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak
Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the c...
Price: $36.50 | Publisher: Packt Publishing | Release: 2018
Machine Learning with PyTorch and Scikit-Learn
by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the...
Price: $35.99 | Publisher: Packt Publishing | Release: 2022
Next-Generation Machine Learning with Spark
by Butch Quinto
Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine...
Price: $26.41 | Publisher: Apress | Release: 2020
by Joshua Newnham
Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps.Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Hands-On Machine Learning with C#
by Matt R. Cole
The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various a...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Hands-on Machine Learning with JavaScript
by Burak Kanber
In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the abi...
Price: $35.99 | Publisher: Packt Publishing | Release: 2018