Search icon Close icon
Search icon
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Hands-On Recommendation Systems with Python

You're reading from  Hands-On Recommendation Systems with Python

Product type Book
Published in Jul 2018
Publisher Packt
ISBN-13 9781788993753
Pages 146 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Rounak Banik Rounak Banik
Profile icon Rounak Banik
LinkedIn
Rounak Banik is a Young India Fellow and an ECE graduate from IIT Roorkee. He has worked as a software engineer at Parceed, a New York start-up, and Springboard, an EdTech start-up based in San Francisco and Bangalore. He has also served as a backend development instructor at Acadview, teaching Python and Django to around 35 college students from Delhi and Dehradun. He is an alumni of Springboard's data science career track. He has given talks at the SciPy India Conference and published popular tutorials on Kaggle and DataCamp.
See other products by Rounak Banik

Table of Contents (9) Chapters

Preface Getting Started with Recommender Systems Manipulating Data with the Pandas Library Building an IMDB Top 250 Clone with Pandas Building Content-Based Recommenders Getting Started with Data Mining Techniques Building Collaborative Filters Hybrid Recommenders Other Books You May Enjoy

Summary

In this chapter, we gained an overview of the world of recommender systems. We saw two approaches to solving the recommendation problem; namely, prediction and ranking. Finally, we examined the various types of recommender systems and discussed their advantages and disadvantages.

In the next chapter, we will learn to process data with pandas, the data analysis library of choice in Python. This, in turn, will aid us in building the various recommender systems we've introduced.

arrow left Previous Chapter
Chapter 1 of 9
Next Chapter arrow right
You have been reading a chapter from
Hands-On Recommendation Systems with Python
Published in: Jul 2018 Publisher: Packt ISBN-13: 9781788993753
© 2018 Packt Publishing Limited All Rights Reserved
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Sign up now
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Start free trial
Renews at $15.99/month. Cancel anytime}

Authors (1)

Profile icon Rounak Banik
LinkedIn
Rounak Banik is a Young India Fellow and an ECE graduate from IIT Roorkee. He has worked as a software engineer at Parceed, a New York start-up, and Springboard, an EdTech start-up based in San Francisco and Bangalore. He has also served as a backend development instructor at Acadview, teaching Python and Django to around 35 college students from Delhi and Dehradun. He is an alumni of Springboard's data science career track. He has given talks at the SciPy India Conference and published popular tutorials on Kaggle and DataCamp.
See other products by Rounak Banik

Other recommended products

Related to this chapter
Left arrow icon
Python Machine Learning Workbook for Beginners
Python Machine Learning Workbook for Beginners
Through a series of machine learning and data science projects, this book represents a beginner-friendly crash course to Python’s practical application in businesses and your own career.
Mar 2021 9 hours 18 minutes
Mastering Predictive Analytics with scikit-learn and TensorFlow
Mastering Predictive Analytics with scikit-learn and TensorFlow
In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.
Sep 2018 5 hours 8 minutes
Machine Learning with Scala Quick Start Guide
Machine Learning with Scala Quick Start Guide
Scala as a programming language is a highly scalable integration of object-oriented and functional programming, which makes it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to train effective machine learning models using this popular language.
Apr 2019 7 hours 20 minutes
R Data Analysis Projects
R Data Analysis Projects
R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it is one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. In this book, we show you just how to do that - with the help of practical implementations of real-world use cases.
Nov 2017 12 hours 12 minutes
Supervised Machine Learning with Python
Supervised Machine Learning with Python
A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems.
May 2019 5 hours 24 minutes
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.
Jul 2020 12 hours 48 minutes
R Machine Learning Projects
R Machine Learning Projects
The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches.
Jan 2019 11 hours 8 minutes
Hands-On Data Science and Python Machine Learning
Hands-On Data Science and Python Machine Learning
This book will help you take your first steps in the world of data science. It will empower you to conduct data analysis and perform efficient machine learning using Python. You will gain value from your data using the various data mining and data analysis techniques in Python, and develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark.
Jul 2017 14 hours 0 minutes
Machine Learning Solutions
Machine Learning Solutions
This book demonstrates a set of simple to complex problems you may encounter while building machine learning models. You'll not only learn the best possible solutions to these problems but also find out how to build projects based on each problem mentioned in the book, with a practical approach and easy-to-follow examples.
Apr 2018 18 hours 52 minutes
Feature Engineering Made Easy
Feature Engineering Made Easy
Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective.
Jan 2018 10 hours 32 minutes
Learning Data Mining with Python
Learning Data Mining with Python
The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding these insights, and Python is one of the most popular languages for data mining because it provides both power and flexibility in analysis.
Apr 2017 11 hours 56 minutes
Machine Learning with Spark
Machine Learning with Spark
Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression.
Apr 2017 17 hours 44 minutes
Right arrow icon

Personalised recommendations for you

Based on your interests and search pattern
Left arrow icon
Et al.
Et al.
Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.
Aug 2023 7 hours 40 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Generative AI with LangChain
Generative AI with LangChain
This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.
Dec 2023 12 hours 0 minutes
Mastering Tableau 2023
Mastering Tableau 2023
This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.
Aug 2023 22 hours 48 minutes
Building AI Applications with ChatGPT APIs
Building AI Applications with ChatGPT APIs
This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.
Sep 2023 8 hours 36 minutes
Building AI Applications with ChatGPT APIs
Building AI Applications with ChatGPT APIs
This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.
Sep 2023 8 hours 36 minutes
Data Engineering with AWS
Data Engineering with AWS
Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.
Oct 2023 21 hours 12 minutes
Modern Data Architecture on AWS
Modern Data Architecture on AWS
Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.
Aug 2023 14 hours 0 minutes
Practical Guide to Applied Conformal Prediction in Python
Practical Guide to Applied Conformal Prediction in Python
Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.
Dec 2023 8 hours 0 minutes
TinyML Cookbook
TinyML Cookbook
With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.
Nov 2023 22 hours 8 minutes
Right arrow icon