Building Machine Learning Projects with TensorFlow 英文无水印pdf pdf使用FoxitReader和PDF-XChangeViewer测试可以打开
2019-12-21 18:55:41 7.89MB Machine Learning TensorFlow
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Realm Building Modern Swift Apps with Realm Database 学习iOS Realm Database必备书籍,深入浅出
2019-12-21 18:52:27 34.09MB Realm Swift iOS Database
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Oxford building 原网页的图片名索引文件,即README for the following files,少了一个名称,图片是5063张,但是标签只有5062个,对照图片名找了好久终于补齐了
2019-12-21 18:49:50 103KB Oxford building
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Building Microservices with .Net Core2.0 2nd Edition
2019-12-21 18:49:02 4.94MB .net .net core Microservice
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Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You'll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Achieve your objectives and produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems. Table of Contents Part I: Approaching an Intelligent Systems Project Chapter 1: Introducing Intelligent Systems Chapter 2: Knowing When to Use Intelligent Systems Chapter 3: A Brief Refresher on Working with Data Chapter 4: Defining the Intelligent System’s Goals Part II: Intelligent Experiences Chapter 5: The Components of Intelligent Experiences Chapter 6: Why Creating Intelligent Experiences Is Hard Chapter 7: Balancing Intelligent Experiences Chapter 8: Modes of Intelligent Interaction Chapter 9: Getting Data from Experience Chapter 10: Verifying Intelligent Experiences Part III: Implement
2018-03-18 16:03:07 3.39MB Intelligent Systems Machine Learning
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This is a book about building Arduino-powered devices for everyday use, and then connecting those devices to the Internet. If you're one of the many who have decided to build your own Arduino-powered devices for IoT applications, you've probably wished you could find a single resource - a guidebook for the eager-to-learn Arduino enthusiast - that teaches logically, methodically, and practically how the Arduino works and what you can build with it. Building Arduino Projects for the Internet of Things: Experiments with Real-World Applications is exactly what you need. Written by a software developer and solution architect who got tired of hunting and gathering various lessons for Arduino development as he taught himself all about the topic, this book gives you an incredibly strong foundation of Arduino-based device development, from which you can go in any direction according to your specific development needs and desires. Readers are introduced to the building blocks of IoT, and then deploy those principles to by building a variety of useful projects. Projects in the books gradually introduce the reader to key topics such as internet connectivity with Arduino, common IoT protocols, custom web visualization, and Android apps that receive sensor data on-demand and in realtime. IoT device enthusiasts of all ages will want this book by their side when developing Android-based devices.
2016-06-18 00:00:00 17.18MB Building Arduino IoT
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