May 2018
Beginner to intermediate
356 pages
9h 25m
English
Overview
Learn how to integrate machine learning techniques directly into your JavaScript applications. 'Hands-on Machine Learning with JavaScript' guides you through practical examples to unlock the power of predictive data analysis, natural language processing, and neural networks, all using one of the most ubiquitous and accessible programming languages.
What this Book will help me do
- Understand key machine learning techniques and apply them using JavaScript.
- Learn how to preprocess and prepare data for analysis and modeling.
- Build, train and utilize classifiers for tasks like pattern recognition.
- Implement clustering and regression algorithms for advanced analytics.
- Develop real-world applications using JavaScript-based machine learning libraries.
Author(s)
Burak Kanber is an experienced software engineer, entrepreneur, and published author specializing in applying machine learning and data science to web technologies. With over a decade of experience, Burak deeply understands the challenges and opportunities in these fields. His writing style is approachable and rooted in sharing practical insights to empower developers in their work.
Who is it for?
This book is perfect for JavaScript developers interested in introducing machine learning concepts to their applications. If you have a solid understanding of JavaScript and want to explore smart application development without switching to another programming language, this book is ideal. Explore the potential of your web apps with practical machine learning applications.
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