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Hands-on Machine Learning with JavaScript : Solve complex computational web problems using machine learning.
Chapter 2: Data Exploration; An overview; Feature identification; The curse of dimensionality; Feature selection and feature extraction; Pearson correlation example; Cleaning and preparing data; Handling missing data; Missing categorical data; Missing numerical data; Handling noise; Handling outlier...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Chapter 2: Data Exploration; An overview; Feature identification; The curse of dimensionality; Feature selection and feature extraction; Pearson correlation example; Cleaning and preparing data; Handling missing data; Missing categorical data; Missing numerical data; Handling noise; Handling outliers; Transforming and normalizing data; Summary; Chapter 3: Tour of Machine Learning Algorithms; Introduction to machine learning; Types of learning; Unsupervised learning; Supervised learning; Measuring accuracy; Supervised learning algorithms; Reinforcement learning; Categories of algorithms. This book demonstrates various machine learning techniques and their implementation in JavaScript. Build models to power your applications with smart, predictive features. From predicting future prices, analyzing sentiments to medical diagnosis, this book shows you how to use the power of JavaScript to build efficient machine learning systems. |
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| Notas: | Tokenizing. |
| Descripción Física: | 1 online resource (343 pages) |
| ISBN: | 9781788990301 1788990307 |