AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Laurence Moroney

O'Reilly Media

2020

Abstract

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.

You'll learn:

• How to build models with TensorFlow using skills that employers desire
• The basics of machine learning by working with code samples
• How to implement computer vision, including feature detection in images
• How to use NLP to tokenize and sequence words and sentences
• Methods for embedding models in Android and iOS
• How to serve models over the web and in the cloud with TensorFlow Serving

Contents:

Part 1: Building models:

Introduction to tensorflow

Introduction to computer vision

Going beyond the basic: detecting features in images,

Using public datasets with tensorflow datasets

Introduction to natural language processing

Making sentiment programmable using embeddings

Recurrent neu networks for natural language processing

Using tensorflow ro create text

Understanding sequence and time series data

Creating ML models to predict sequences

Using convolutional and recurrent methods for sequance models

Part 2: Using model:

An introduction to tensorflow lite

Using tensorflow lite in android apps

Using tensorflow lite in IOS apps

An introduction to tensorflow.js

Coding techniques for computer vision in tensorflow.js

Reusing and converting python models to javascipt

Transfer learning in javascipt

Deployment with tensorflow serving

Al ethics, and privacy

Citation

Laurence Moroney ; AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence; O'Reilly Media; 2020

Collection

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