Python Artificial Intelligence Projects for Beginners : Get up and Running with Artificial Intelligence Using 8 Smart and Exciting AI Applications

Build smart applications by implementing real-world artificial intelligence projects Key Features Explore a variety of AI projects with Python Get well-versed with different types of neural networks and popular deep learning algorithms Leverage popular Python deep learning libraries for your AI projects Book Description Artificial Intelligence (AI) is the newest technology that's being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence. This book begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees. With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library. By the end of this book, you will be confident in building your own AI projects with Python and be ready to take on more advanced projects as you progress What you will learn Build a prediction model using decision trees and random forest Use neural networks, decision trees, and random forests for classification Detect YouTube comment spam with a bag-of-words and random forests Identify handwritten mathematical symbols with convolutional neural networks Revise the bird species identifier to use images Learn to detect positive and negative sentiment in user reviews Who this book is for Python Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy-to-follow projects. Basic working knowledge of Python programming is expected so that you're able to play around with code Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you 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 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 This book demonstrates AI projects in Python covering modern techniques that make up the world of Artificial Intelligence. You will come across a variety of real-world projects on classifying data, text processing techniques, deep learning and neural networks 1. Building Your Own Prediction Models 2. Prediction with Random Forests 3. Application for comment classification 4. Neural Networks 5. Deep Learning