Ai Smart Kit PDF Download
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| Author | : Melodena Stephens |
| Publisher | : IAP |
| Total Pages | : 73 |
| Release | : 2021-04-01 |
| Genre | : Computers |
| ISBN | : 1648024173 |
Download AI Smart Kit Book in PDF, ePub and Kindle
There are many myths about Artificial Intelligence (AI) relating to what it is and what it can and cannot do. The people making decisions on AI projects are often not technologically savvy and unable to find easy answers. The spending on and the returns from AI projects are not necessarily straightforward. Part of the reason for this is the lack of understanding of the impact of critical decision criteria. AI touches on many ethical concepts - data privacy, validity, and, more importantly, its potential misuse. AI often replaces human decision-making, as managers do not clearly understand the implications of those choices. This book provides an easy and accessible guide for practitioners without a technological background to understand AI. It guides the reader through the fundamental issues confronting decision-makers. It offers advice on ‘how to ask relevant questions’ using the 15 decision scales. There is currently no comparable book on the market that acts as a pocketbook management reference guide for the AI layman.
| Author | : Pete Warden |
| Publisher | : O'Reilly Media |
| Total Pages | : 504 |
| Release | : 2019-12-16 |
| Genre | : Computers |
| ISBN | : 1492052019 |
Download TinyML Book in PDF, ePub and Kindle
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
| Author | : Melodena Stephens |
| Publisher | : IAP |
| Total Pages | : 367 |
| Release | : 2023-07-01 |
| Genre | : Education |
| ISBN | : |
Download AI Enabled Business Book in PDF, ePub and Kindle
As the use of AI becomes more and more ubiquitous in companies around the world, managers charged with taking key decisions require resources to enable them to evaluate new projects effectively. The business case for AI projects is not necessarily clear cut and part of the reason for this is the lack of understanding on key decision criteria. AI touches on many ethical concepts - data privacy, validity and more importantly, its potential misuse. AI is often being used to replace human decision-making and there is often no real understanding of the implications of this. This book provides a detailed primer for practitioners without a deep technological background. It guides the reader through the basic issues and offers advice on ‘how to take decisions’. There is a dearth of such books currently available and this book aspires to fill a growing niche. ENDORSEMENTS: "This book is sure to offer value to business users, students and the general public." — K. Ananth Krishnan, Tata Consultancy Services "I highly recommend this book for the leader seeking an up-to-date review of AI to make strategic investments." — Kes Sampanthar, Innovation, BCG Brighthouse "The specificity of application in case studies and easy to understand definitions and recommendations make this a must read in the ever-growing field of literature around AI." — John C. Havens "The AI Enabled Organization is the perfect tool to embark on a thorough assessment of what AI means for your business." — Arno Fehler, Schmidt Kranz Group, Germany
| Author | : Gary Marcus |
| Publisher | : Vintage |
| Total Pages | : 288 |
| Release | : 2019-09-10 |
| Genre | : Computers |
| ISBN | : 1524748269 |
Download Rebooting AI Book in PDF, ePub and Kindle
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
| Author | : |
| Publisher | : |
| Total Pages | : 846 |
| Release | : 1901 |
| Genre | : Libertarianism |
| ISBN | : |
Download The Smart Set Book in PDF, ePub and Kindle
| Author | : George Jean Nathan |
| Publisher | : |
| Total Pages | : 670 |
| Release | : 1925 |
| Genre | : Literature, Modern |
| ISBN | : |
Download The Smart Set Book in PDF, ePub and Kindle
| Author | : Dale Lane |
| Publisher | : No Starch Press |
| Total Pages | : 290 |
| Release | : 2021-01-19 |
| Genre | : Computers |
| ISBN | : 1718500572 |
Download Machine Learning for Kids Book in PDF, ePub and Kindle
A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+
| Author | : Francis X. Govers |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 336 |
| Release | : 2018-08-30 |
| Genre | : Computers |
| ISBN | : 1788835700 |
Download Artificial Intelligence for Robotics Book in PDF, ePub and Kindle
Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
| Author | : Aaron Maurer |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 438 |
| Release | : 2021-05-07 |
| Genre | : Computers |
| ISBN | : 180056998X |
Download Smart Robotics with LEGO MINDSTORMS Robot Inventor Book in PDF, ePub and Kindle
Discover how to use the LEGO MINDSTORMS Inventor kit and boost your confidence in robotics Key FeaturesGain confidence in building robots using creative designsLearn advanced robotic features and find out how to integrate them to build a robotWork with the block coding language used in robotics software in a practical wayBook Description LEGO MINDSTORMS Robot Inventor is the latest addition to the LEGO MINDSTORMS theme. It features unique designs that you can use to build robots, and also enable you to perform activities using the robot inventor application. You'll begin by exploring the history of LEGO MINDSTORMS, and then delve into various elements of the Inventor kit. Moving on, you'll start working on different projects which will prepare you to build a variety of smart robots. The first robotic project involves designing a claw to grab objects, and helps you to explore how a smart robot is used in everyday life and in industry. The second project revolves around building a working guitar that can be played and modified to meet the needs of the user. As you advance, you'll explore the concept of biomimicry as you discover how to build a scorpion robot. In addition to this, you'll also work on a classic robotic challenge by building a sumobot. Throughout the book, you'll come across a variety of projects that will provide you with hands-on experience in building creative robots, such as building a Dragster, Egg Decorator, and Plankton from Spongebob Squarepants. By the end of this LEGO book, you'll have got to grips with the concepts behind building a robot, and also found creative ways to integrate them using the application based on your creative insights and ideas. What you will learnDiscover how the Robot Inventor kit works, and explore its parts and the elements inside themDelve into the block coding language used to build robotsFind out how to create interactive robots with the help of sensorsUnderstand the importance of real-world robots in today's landscapeRecognize different ways to build new ideas based on existing solutionsDesign basic to advanced level robots using the Robot Inventor kitWho this book is for This book is for robot enthusiasts, LEGO lovers, hobbyists, educators, students, and anyone looking to learn about the new LEGO Robot Inventor kit. This book is designed to go beyond the basic build through to intermediate and advanced builds, and enables you to add your personal flair to the builds and codes.
| Author | : Dr. Joshua Eckroth |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 155 |
| Release | : 2018-07-31 |
| Genre | : Computers |
| ISBN | : 1789538246 |
Download Python Artificial Intelligence Projects for Beginners Book in PDF, ePub and Kindle
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
