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AI and Machine Learning for Coders
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
The Definitive Guide to Firebase
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 ...
AI and Machine Learning for On-Device Development
Chapter 2. Introduction to Computer Vision -- Using Neurons for Vision -- Your First Classifier: Recognizing Clothing Items -- The Data: Fashion MNIST -- A Model Architecture to Parse Fashion MNIST -- Coding the Fashion MNIST Model -- Transfer Learning for Computer Vision -- Summary -- Chapter 3. Introduction to ML Kit -- Building a Face Detection App on Android -- Step 1: Create the App with Android Studio -- Step 2: Add and Configure ML Kit -- Step 3: Define the User Interface -- Step 4: Add the Images as Assets -- Step 5: Load the UI with a Default Picture.
Learning TensorFlow.js
Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learning and the web) provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-readydeep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js Use resources to convert, train, and manage machine learning data Build and train your own training models from scratch
Beginning Web Development, Silverlight, and ASP.NET AJAX
There has been a huge surge in interest in ‘Web 2.0’ technologies over the last couple of years. Microsoft’s contribution to this area has been the ASP.NET AJAX and Silverlight technologies, coupled to a supporting framework of ancillary tools. This book aims to be a no nonsense introduction to these technologies for the rapidly growing number of people who are realizing that they need Microsoft-based ‘Web 2.0’ skills on their CV. It gives people a grounding in the core concepts of the technologies and shows how they can be used together to produce the results that people need. The author has unparalleled experience of introducing people to these technologies.
iPhone and iPad Apps for Absolute Beginners
The iPhone is the hottest gadget of our generation, and much of its success has been fueled by the App Store, Apple’s online marketplace for iPhone applications. Over 1 billion apps have been downloaded in the 9 months the App Store has been open, ranging from the simplest games to the most complex business apps. Everyone has an idea for the next best-selling iPhone app—presumably that’s why you’re reading this now. And with the release of the iPad, this demand will just continue to grow. So how do you build an application for the iPhone and iPad? Don’t you need to spend years learning complicated programming languages? What about Objective-C, Cocoa Touch, and the software developm...
Foundations of WPF
Windows Presentation Foundations (WPF), formerly code-named Avalon, is part of a suite of new technologies collectively known as ‘The WinFX stack’. The suite, coupled with ancillary technologies such as XAML and LINQ provides a powerful addition to the .NET 2.0 Framework for creating applications for Windows Vista, and WinFX-enabled Windows XP computers. This book explains what WPF is, how it can be used and how it fits into the wider picture of new WinFX technologies. Readers get quickly up to speed with new coding techniques and processes needed for successful WPF coding, and receive a thorough practical grounding in how the technologies can be used.
Sculpting Data for ML
In the contemporary world of Artificial Intelligence and Machine Learning, data is the new oil. For Machine Learning algorithms to work their magic, it is imperative to lay a firm foundation with relevant data. Sculpting Data for ML introduces the readers to the first act of Machine Learning, Dataset Curation. This book puts forward practical tips to identify valuable information from the extensive amount of crude data available at our fingertips. The step-by-step guide accompanies code examples in Python from the extraction of real-world datasets and illustrates ways to hone the skills of extracting meaningful datasets. In addition, the book also dives deep into how data fits into the Machi...
Grokking Machine Learning
Discover valuable machine learning techniques you can understand and apply using just high-school math. In Grokking Machine Learning you will learn: Supervised algorithms for classifying and splitting data Methods for cleaning and simplifying data Machine learning packages and tools Neural networks and ensemble methods for complex datasets Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path...
Introducing Microsoft WebMatrix
WebMatrix gives developers a "one-stop-shop" for obtaining and installing a complete Microsoft Web stack. This guide explains how to use WebMatrix and utilize the built-in tools for search engine optimization.
