|
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
|
Buy Now
Applied Recommender Systems with Python - Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques (Paperback, 1st ed.)
Loot Price: R932
Discovery Miles 9 320
You Save: R237
(20%)
|
|
|
Applied Recommender Systems with Python - Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques (Paperback, 1st ed.)
Expected to ship within 10 - 15 working days
|
This book will teach you how to build recommender systems with
machine learning algorithms using Python. Recommender systems have
become an essential part of every internet-based business today.
You'll start by learning basic concepts of recommender systems,
with an overview of different types of recommender engines and how
they function. Next, you will see how to build recommender systems
with traditional algorithms such as market basket analysis and
content- and knowledge-based recommender systems with NLP. The
authors then demonstrate techniques such as collaborative filtering
using matrix factorization and hybrid recommender systems that
incorporate both content-based and collaborative filtering
techniques. This is followed by a tutorial on building machine
learning-based recommender systems using clustering and
classification algorithms like K-means and random forest. The last
chapters cover NLP, deep learning, and graph-based techniques to
build a recommender engine. Each chapter includes data preparation,
multiple ways to evaluate and optimize the recommender systems,
supporting examples, and illustrations. By the end of this book,
you will understand and be able to build recommender systems with
various tools and techniques with machine learning, deep learning,
and graph-based algorithms. What You Will Learn Understand and
implement different recommender systems techniques with Python
Employ popular methods like content- and knowledge-based,
collaborative filtering, market basket analysis, and matrix
factorization Build hybrid recommender systems that incorporate
both content-based and collaborative filtering Leverage machine
learning, NLP, and deep learning for building recommender systems
Who This Book Is ForData scientists, machine learning engineers,
and Python programmers interested in building and implementing
recommender systems to solve problems.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
