Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems. Code

Code Build smarter systems by combining artificial intelligence and the Internet of Things―two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book. Table of Contents Principles and Foundations of IoT and AI Data Access and Distributed Processing for IoT Machine Learning for IoT Deep Learning for IoT Genetic Algorithms for IoT Reinforcement Learning for IoT GAN for IoT Distributed AI for IoT Personal and Home and IoT AI for Industrial IoT AI for Smart Cities IoT Combining It All Together **Build smarter systems by combining artificial intelligence and the Internet of Things―two of the most talked about topics today** ## Key Features * Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data * Process IoT data and predict outcomes in real time to build smart IoT models * Cover practical case studies on industrial IoT, smart cities, and home automation There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. ## What you will learn * Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras * Access and process data from various distributed sources * Perform supervised and unsupervised machine learning for IoT data * Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms * Forecast time-series data using deep learning methods * Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities * Gain unique insights from data obtained from wearable devices and smart devices If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book. 1. Principles and Foundations of IoT and AI 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. GAN for IoT 8. Distributed AI for IoT 9. Personal and Home and IoT 10. AI for Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around youAbout This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no timeWho This Book Is ForThis book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on itIn DetailArtificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide!Style and approachThis highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application Be an adaptive thinker that leads the way to Artificial Intelligence About This Book 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 Who This Book Is For Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book. What You Will Learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Acquire advanced AI, machine learning, and deep learning designing skills Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology Understand future AI solutions and adapt quickly to them Develop out-of-the-box thinking to face any challenge the market presents In Detail Artificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of Artificial Intelligence Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your a .. Publisher's Note: This edition from 2018 is outdated! A new second edition, completely updated for Python 3.x and its latest libraries, and TensorFlow 2.x, is now available. It features new and more practical examples executed on various platforms like TensorBoard, IBMQ, Google Dialogflow, Quirk, and more.Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceDevelop your own method for future AI solutionsAcquire advanced AI, machine learning, and deep learning design skillsBook DescriptionArtificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies.Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks.You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own.By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.What you will learnUse adaptive thinking to solve real-life AI case studiesRise beyond being a modern-day factory code workerAcquire advanced AI, machine learning, and deep learning designing skillsLearn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technologyUnderstand future AI solutions and adapt quickly to themDevelop out-of-the-box thinking to face any challenge the market presentsWho this book is forArtificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of artificial intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book. Build Real-world Ai Applications With Python To Intelligently Interact With Your Surroundingsabout This Book* Step Into The Amazing World Of Intelligent Apps Using This Comprehensive Guide* Enter The World Of Ai, Explore It, And Become Independent To Create Your Own Ai Apps* Work Through Simple Yet Insightful Examples That Will Get You Up And Running With Artificial Intelligence In No Timewho This Book Is Forthis Book Is For Python Developers Who Want To Build Real-world Ai Applications. This Book Is Friendly To Python Beginners, But Being Familiar With Python Would Be Useful To Play Around With The Code. It Will Also Be Useful For Experienced Python Programmers Who Are Looking To Implement Ai Techniques In Their Existing Technology Stacks.what You Will Learn* Find Out How To Use Different Classification And Regression Techniques* Understand The Concept Of Clustering And How To Use It To Automatically Segment Data* See How To Build An Intelligent Recommender System* Understand Logic Programming And How To Use It* Develop Automatic Speech Recognition Systems* Understand The Basics Of Heuristic Search And Genetic Programming* Develop An Understanding Of Reinforcement Learning* Discover How To Build Ai Applications Centered On Images, Text, And Time Series Data* Understand How To Use Deep Learning Algorithms And Build Applications Based On Itin Detailai Is Becoming Increasingly Relevant In The Modern World Where The Ecosystem Is Driven By Technology And Data. Ai Is Used Extensively Across Many Fields Such As Robotics, Computer Vision, Finance, And So On. We Will Explore Various Real-world Scenarios In This Book And You'll Learn About Various Ai Algorithms That Can Be Used To Build Various Applications.during The Course Of This Book, You Will Find Out How To Make Informed Decisions About What Algorithms To Use In A Given Context. Starting From The Basics Of The Ai Concepts, You Will Learn How To Develop The Various Building Blocks Of Ai Using Different Data Mining Techniques. You Will See How To Implement Different Algorithms To Get The Best Possible Results, And Will Understand How To Apply Them To Real-world Scenarios. If You Want To Add An Intelligence Layer To Any Application Based On Images, Text, Stock Market, Or Some Other Form Of Data, This Exciting Book On Ai Will Definitely Guide You All The Way! Be An Adaptive Thinker That Leads The Way To Artificial Intelligence 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 Book Description Artificial Intelligence Has The Potential To Replicate Humans In Every Field. This Book Serves As A Starting Point For You To Understand How Ai Is Built, With The Help Of Intriguing Examples And Case Studies. Artificial Intelligence By Example Will Make You An Adaptive Thinker And Help You Apply Concepts To Real-life Scenarios. Using Some Of The Most Interesting Ai Examples, Right From A Simple Chess Engine To A Cognitive Chatbot, You Will Learn How To Tackle The Machine You Are Competing With. You Will Study Some Of The Most Advanced Machine Learning Models, Understand How To Apply Ai To Blockchain And Iot, And Develop Emotional Quotient In Chatbots Using Neural Networks. You Will Move On To Designing Ai Solutions In A Simple Manner Rather Than Get Confused By Complex Architectures And Techniques. This Comprehensive Guide Will Be A Starter Kit For You To Develop Ai Applications On Your Own. By The End Of This Book, Will Have Understood The Fundamentals Of Ai And Worked Through A Number Of Case Studies That Will Help You Develop Business Vision. What You Will Learn Use Adaptive Thinking To Solve Real-life Ai Case Studies Rise Beyond Being A Modern-day Factory Code Worker Acquire Advanced Ai, Machine Learning, And Deep Learning Designing Skills Learn About Cognitive Nlp Chatbots, Quantum Computing, And Iot And Blockchain Technology Understand Future Ai Solutions And Adapt Quickly To Them Develop Out-of-the-box Thinking To Face Any Challenge The Market Presents Who This Book Is For Artificial Intelligence By Example Is A Simple, Explanatory, And Descriptive Guide For Junior Developers, Experienced Developers, Technology Consultants, And Those Interested In Ai Who Want To Understand The Fundamentals Of Artificial Intelligence And Implement It Practically By Devising Smart Solutions. Prior Experience With Python And Statistical Knowledge Is Essential To Make The Most Out Of This Book. Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! What You Will Learn: Realize different classification and regression techniques; Understand the concept of clustering and how to use it to automatically segment data; See how to build an intelligent recommender system; Understand logic programming and how to use it; Build automatic speech recognition systems; Understand the basics of heuristic search and genetic programming; Develop games using Artificial Intelligence; Learn how reinforcement learning works; Discover how to build intelligent applications centered on images, text, and time series data; See how to use deep learning algorithms and build applications based on it--Publisher website The book will help you get well-versed with different techniques in Artificial Intelligence such as machine learning, deep learning, natural language processing and more to build smart IoT systems. By the end of the book, you will have practical knowledge on how to implement and manipulate text, audio, and speech data within the IoT system Artificial Intelligence(AI), gets your system to think smart and intelligent. This book is packed with some of the smartest and easy-peasy examples through which you will learn the fundamentals of AI. You will have acquired the foundation of AI and understood the practical case studies in this book