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

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.

Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.

• Explore the options for implementing ML and AI on mobile devices
• Create ML models for iOS and Android
• Write ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOS
• Choose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIs
• Learn privacy and ethics best practices for ML on devices

Plan how to build a better app, grow it into a business, and earn money from your hard work using Firebase. In this book, Laurence Moroney, Staff Developer Advocate at Google, takes you through each of the 15 Firebase technologies, showing you how to use them with concrete examples. You’ll see how to build cross-platform apps with the three pillars of the Firebase platform: technologies to help you develop apps with a real-time database, remote configuration, cloud messaging, and more; grow your apps with user sharing, search integration, analytics, and more; and earn from your apps with in-app advertising.

After reading The Definitive Guide to Firebase, you'll come away empowered to make the most of this technology that helps you build better cross-platform mobile apps using either native Android or JavaScript-based web apps and effectively deploy them in a cloud environment.

What You'll Learn

• Use the real-time database for a codeless middleware that gives online and offline data for syncing across your users’ devices
  
• Master Firebase Cloud Messaging, a technology that delivers to connected devices in less than 500ms
  
• Grow your app organically with technologies such App Indexing, App Invites, and Dynamic Links
• Understand problems when they arise with crash reporting 
• Fix user problems without direct access to users’ devices
  
• Tie it all together with analytics that give you great intelligence about how users interact with your app

Who This Book Is For

Experienced Android, mobile app developers new to Firebase. This book is also for experienced web developers looking to build and deploy web apps for smartphones and tablets, too, who may be new or less experienced with mobile programming.