Instant download Hands on Machine Learning with JavaScript pdf, docx, kindle format all chapters after payment.
Product details:
- ISBN 10: 1788990307
- ISBN 13: 9781788990301
- Author: Burak Kanber
In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications. Hands-on Machine Learning with JavaScript presents various avenues of machine learning in a practical and objective way, and helps implement them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models and work with different kinds of data. During this journey, you will come across use cases such as face detection, spam filtering, recommendation systems, character recognition, and more. Moreover, you will learn how to work with deep neural networks and guide your applications to gain insights from data. By the end of this book, you’ll have gained hands-on knowledge on evaluating and implementing the right model, along with choosing from different JS libraries, such as NaturalNode, brain, harthur, classifier, and many more to design smarter applications.
Table contents:
- Exploring the Potential of JavaScript
- Data Exploration
- Tour of Machine Learning Algorithms
- Grouping with Clustering Algorithms
- Classification Algorithms
- Association Rule Algorithms
- Forecasting with Regression Algorithms
- Artificial Neural Network Algorithms
- Deep Neural Networks
- Natural Language Processing in Practice
- Using Machine Learning in Real-Time Applications
- Choosing the Best Algorithm for Your Application
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