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Machine Learning for the Web
最新章節(jié)：
Index
Thebookisaimedatupcomingandnewdatascientistswhohavelittleexperiencewithmachinelearningoruserswhoareinterestedinandareworkingondevelopingsmart(predictive)webapplications.KnowledgeofDjangowouldbebeneficial.ThereaderisexpectedtohaveabackgroundinPythonprogrammingandgoodknowledgeofstatistics.
目錄(76章)
倒序
- 封面
- 版權(quán)頁(yè)
- Credits
- Foreword
- About the Author
- About the Reviewers
- www.PacktPub.com
- eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Introduction to Practical Machine Learning Using Python
- General machine-learning concepts
- Preparing manipulating and visualizing data – NumPy pandas and matplotlib tutorials
- Scientific libraries used in the book
- When to use machine learning
- Summary
- Chapter 2. Unsupervised Machine Learning
- Clustering algorithms
- Dimensionality reduction
- Singular value decomposition
- Summary
- Chapter 3. Supervised Machine Learning
- Model error estimation
- Generalized linear models
- Naive Bayes
- Decision trees
- Support vector machine
- A comparison of methods
- Hidden Markov model
- Summary
- Chapter 4. Web Mining Techniques
- Web structure mining
- Web content mining
- Natural language processing
- Postprocessing information
- Summary
- Chapter 5. Recommendation Systems
- Utility matrix
- Similarities measures
- Collaborative Filtering methods
- CBF methods
- Association rules for learning recommendation system
- Log-likelihood ratios recommendation system method
- Hybrid recommendation systems
- Evaluation of the recommendation systems
- Summary
- Chapter 6. Getting Started with Django
- HTTP – the basics of the GET and POST methods
- Writing an app – most important features
- Admin
- Summary
- Chapter 7. Movie Recommendation System Web Application
- Application setup
- Models
- Commands
- User sign up login/logout implementation
- Information retrieval system (movies query)
- Rating system
- Recommendation systems
- Admin interface and API
- Summary
- Chapter 8. Sentiment Analyser Application for Movie Reviews
- Application usage overview
- Search engine choice and the application code
- Scrapy setup and the application code
- Django models
- Integrating Django with Scrapy
- PageRank: Django view and the algorithm code
- Admin and API
- Summary
- Index 更新時(shí)間：2021-07-14 10:46:30
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