What do you think?
Rate this book
A Step-by-Step Guide to AI Programming in Node.js 2023 Edition: Navigating the Shifting Landscape of AI Technology with Node.js
This book features a step-by-step guide to AI programming in Node.js 2023 Edition written by Eric B Zotti. It is designed to teach the reader the basic fundamentals of AI programming in Node.js, so they can quickly be developing their projects with confidence.The book starts off with an introduction to the fundamentals of AI programming, covering essential topics such as data representation, neural networks and deep learning. The aim of this chapter is to familiarize the reader with basic concepts, which can be referred back to throughout the book.Next, an overview of Node.js is provided, focusing on Node.js syntax, the various APIs and its application in AI programming. The chapter includes conventions for coding in Node.js, examples showing how it can be used in AI projects and lets the reader dive into a complete sample project to understand the full development cycle.We then move onto machine learning specifically, covering topics such as supervised and unsupervised learning, linear and logistic regression, support vector machines and more. The chapter delves into the details of training and testing data sets, design of an AI’s logic and the tools used to optimize its performance.Next, natural language processing takes center stage. This chapter teaches the reader to build AI tools capable of understanding and responding to commands given in natural language. We cover topics such as text classification, word embedding and neural machine translation.
Deep learning is discussed next. This chapter introduces the fundamentals of neural networks, including deep learning models, data preparation and toolkits used to improve the performance of a model. An in-depth example using complex generative networks is included to aid the reader’s understanding of the material.Then the book moves on to image recognition, starting off with a gentle introduction to convolutional neural networks. Techniques to train, test and evaluate CNN models are taught, including transfer learning, which is used for accuracy improvement.Subsequently, the book explores the power of reinforcement learning. We discuss the core components of such algorithms and show how they can be used to build AI agents that can make decisions based on rewards and punishments. This chapter also offers an insight into the field of evolutionary computing and its potential use in the world of AI.Finally, the book discusses the design of AI projects and its lifecycle management. It provides an overview of the tools available on the market and the techniques to optimize them. This chapter also shares tips on how to develop and manage AI projects in a collaborative environment.By the end of this book, the reader will have gained a well-rounded understanding of how to develop and manage AI projects in Node.js. It provides all the information they need to become a confident and successful AI programmer.
Deep learning is discussed next. This chapter introduces the fundamentals of neural networks, including deep learning models, data preparation and toolkits used to improve the performance of a model. An in-depth example using complex generative networks is included to aid the reader’s understanding of the material.Then the book moves on to image recognition, starting off with a gentle introduction to convolutional neural networks. Techniques to train, test and evaluate CNN models are taught, including transfer learning, which is used for accuracy improvement.Subsequently, the book explores the power of reinforcement learning. We discuss the core components of such algorithms and show how they can be used to build AI agents that can make decisions based on rewards and punishments. This chapter also offers an insight into the field of evolutionary computing and its potential use in the world of AI.Finally, the book discusses the design of AI projects and its lifecycle management. It provides an overview of the tools available on the market and the techniques to optimize them. This chapter also shares tips on how to develop and manage AI projects in a collaborative environment.By the end of this book, the reader will have gained a well-rounded understanding of how to develop and manage AI projects in Node.js. It provides all the information they need to become a confident and successful AI programmer.
Hardcover
Published February 12, 2023
1 person is currently reading
1 person want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.