Machine Learning: Make Your Own Recommender System (Machine Learning for Beginners)

Learn How to Make Your Own Recommender System in an Afternoon.

Recommender systems are one of the most visible applications of machine learning and data mining today and their uncanny ability to convert our unspoken actions into items we desire is both addicting and concerning. And whether recommender systems excite or scare you, the best way to manage their influence and impact is to understand the architecture and algorithms that play on your personal data. Recommender systems are here to stay and for anyone beginning their journey in data science, this is a lucrative space for future employment.This book will get you up and running with the basics as well as the steps to coding your own recommender system using Python. Exercises include predicting book recommendations, relevant house properties for online marketing purposes, and whether a user will click on an ad campaign. The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.

Topics covered in this book:

Setting Up A Sandbox Environment With Jupyter NotebookWorking With DataData ReductionBuilding a Collaborative Filtering ModelBuilding a Content-Based Filtering ModelEvaluationPrivacy & EthicsFuture of Recommender Systems

Please feel welcome to join this introductory course by buying a copy or sending a free sample to your preferred device.

• Machine Learning For Absolute Beginners: A Plain English Introduction (Machine Learning For Beginners)
• The Hundred-Page Machine Learning Book
• Statistics for Absolute Beginners
• Make Your Own Neural Network: An In-depth Visual Introduction For Beginners
• Deep Learning with Python
• Practical Statistics for Data Scientists: 50 Essential Concepts
• Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
• Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
• Decision Trees and Random Forests: A Visual Introduction For Beginners
• Introduction to Deep Learning (The MIT Press)