AI and Machine Learning for Coders

If you’re looking to make a career move from programmer to Al specialist, this is the ideal place to start. Based on Laurence Moroney’s extremely successful Al courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. All you need is experience with Python and its notation for data and array processing.

You’ll learn how to implement the most common scenarios in machine learning, including 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 provides practical lessons that let you work directly with the code.

• Understand machine learning basics by working with code samples
• Use TensorFlow to build models for a variety of scenarios
• Build a model with a neural network containing only one neuron
• Implement computer vision, including feature detection in images
• Tokenize and sequence words and sentences with NLP
• Embed your models in Android and iOS devices
• Serve models over the web and in the cloud with TensorFlow Serving

Laurence Moroney leads Al advocacy at Google, teaching software developers how to build Al systems with machine learning. He’s a frequent contributor to the TensorFlow YouTube channel, a recognized global keynote speaker, and a prolific author.