Hands-On Machine Learning Recommender Systems with Apache Spark
โ Scribed by Ernesto Lee
- Publisher
- Consultants Network
- Year
- 2020
- Tongue
- English
- Leaves
- 90
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is intended to provide an introduction to recommender systems using Apache Spark and Machine Learning. Before we begin with recommender systems using Apache Spark, we define Big Data and Machine Learning. We then dive directly into our use case of building a recommender system with Apache Spark and Machine learning by showing you how to build a recommender system - step by step.
โฆ Subjects
Computers / Artificial Intelligence; Computers / Programming / Algorithms; Computers / Data Science / Machine Learning
๐ SIMILAR VOLUMES
Build industry-standard recommender systems Only familiarity with Python is required No need to wade through complicated machine learning theory to use this book Objectives Get to grips with the different kinds of recommender systems Master data-wrangling techniques using the pandas library
510 pages : 24 cm