Designing the Internet of Things+Learning Internet of Things下载

weixin_39821051 2020-08-16 07:30:32

2本最新的IoT相关的英文书籍：Designing the Internet of Things.pdf+Learning Internet of Things.pdf
相关下载链接：//download.csdn.net/download/wf395962475/9866886?utm_source=bbsseo

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Key Features AI-based examples to guide you in designing and implementing machine intelligence Develop your own method for future AI solutions Acquire advanced AI, machine learning, and deep learning design skills Table of Contents Become an Adaptive Thinker Think like a Machine Apply Machine Thinking to a Human Problem Become an Unconventional Innovator Manage the Power of Machine Learning and Deep Learning Don't Get Lost in Techniques – Focus on Optimizing Your Solutions When and How to Use Artificial Intelligence Revolutions Designed for Some Corporations and Disruptive Innovations for Small to Large Companies Getting Your Neurons to Work Applying Biomimicking to Artificial Intelligence Conceptual Representation Learning Automated Planning and Scheduling AI and the Internet of Things (IoT) Optimizing Blockchains with AI Cognitive NLP Chatbots Improve the Emotional Intelligence Deficiencies of Chatbots Quantum Computers That Think Appendix - Answers to the Questions

Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications ISBN-10 书号: 1138492477 ISBN-13 书号: 9781138492479 Edition 版本: 1 出版日期: 2018-10-06 pages 页数: (356) Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented. Contents Preface Editors Contributors Chapter 1:Big Data Mining Methods in Medical Applications Chapter 2:Approaches in Healthcare Using Big Data and Soft Computing Chapter 3:Implantable Electronics:Integration of Bio-Interfaces,Devices and Sensors Chapter 4:Challenges in Designing Software Architectures for -Web-Based Biomedical Signal Analysis Chapter 5:Handling of Medical Imbalanced Big Data Sets for Improved Classification Using Adjacent_ Extreme Mix Neighbours Oversampling Technique (AEMNOST) Chapter 6:A Big Data Framework for Removing Misclassified Instances Based on Fuzzy Rough Chapter 7:Fuzzy C-Mean and Density-Based Spatial Clustering for Internet of Things Data Processing Chapter 8:Parallel Data Mining Techniques for Breast Cancer Prediction Chapter 9:A MapReduce Approach to Analysing Healthcare Big Data Chapter 10:loT and Robotics in Healthcare Chapter 11:Internet of Medical Things:Remote Healthcare and Health Monitoring Perspective Chapter 12:A Comparative Analysis of Classical Cryptography versus Quantum Cryptography for Web of Medical Things(WoMT)

Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud By 作者: Manuel Amunategui – Mehdi Roopaei ISBN-10 书号: 1484238729 ISBN-13 书号: 9781484238721 Edition 版本: 1st ed. 出版日期: 2018-09-13 pages 页数: 510 Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book―Amazon, Microsoft, Google, and PythonAnywhere. You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time. Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider. You can easily jump to or skip particular topics in the book. You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the book. What You’ll Learn Extend your machine learning models using simple techniques to create compelling and interactive web dashboards Leverage the Flask web framework for rapid prototyping of your Python models and ideas Create dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and more Harness the power of TensorFlow by exporting saved models into web applications Create rich web dashboards to handle complex real-time user input with JavaScript and Ajax to yield interactive

Key Features Learn to leverage ServiceNow’s capabilities for improved IT automation by following step-by-step, practical instructions Build core administration, development, and maintenance skills with IT service management in ServiceNow Improve your workflow efficiency by designing and creating responsive and automated workflows, business logic, and front-end automation Book Description This book is an updated version of Learning ServiceNow, that will cover the new and updated features of the ServiceNow platform. It will show you how to put important ServiceNow features to work in the real world, while introducing key concepts via examples of managing and automating IT services. It’ll help you build a solid foundation of knowledge, and will demonstrate how to effectively implement and configure modules within ServiceNow. We’ll show you how to configure and administer your instance, and then move on to building strong user interfaces and creating powerful workflows. We also cover other key elements of ServiceNow, such as notifications, security, reporting, and custom development. You will learn how to improve and automate your business’ workflow and processes. By the end of this book, you will be able to successfully configure and manage ServiceNow like a pro. What you will learn Read and write clear, effective code for the ServiceNow platform Identify and avoid common pitfalls and missteps that could seriously impact future progress and upgradeability Use debugging tools to troubleshoot when things go wrong Discover tips and tricks from top ServiceNow developers, architects, and administrators. Find out what the pros wish they knew when they were starting out Who This Book Is For This book is for IT professionals and administrators who are planning to or are already trying to implement ServiceNow in their organization for Enterprise IT service management tasks. Some familiarity with web technologies (JavaScript) would be helpful. Prior ServiceNow experience is n

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