Artificial Intelligence For Net Speech Language And Search
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| Author | : Nishith Pathak |
| Publisher | : Apress |
| Total Pages | : 278 |
| Release | : 2017-08-14 |
| Genre | : Computers |
| ISBN | : 1484229495 |
Get introduced to the world of artificial intelligence with this accessible and practical guide. Build applications that make intelligent use of language and user interaction to better compete in today’s marketplace. Discover how your application can deeply understand and interpret content on the web or a user’s machine, intelligently react to direct user interaction through speech or text, or make smart recommendations on products or services that are tailored to each individual user. With Microsoft Cognitive Services, you can do all this and more utilizing a set of easy-to-use APIs that can be consumed on the desktop, web, or mobile devices. Developers normally think of AI implementation as a tough task involving writing complex algorithms. This book aims to remove the anxiety by creating a cognitive application with a few lines of code. There is a wide range of Cognitive Services APIs available. This book focuses on some of the most useful and powerful ways that your application can make intelligent use of language. Artificial Intelligence for .NET: Speech, Language, and Search will show you how you can start building amazing capabilities into your applications today. What You'll Learn Understand the underpinnings of artificial intelligence through practical examples and scenarios Get started building an AI-based application in Visual Studio Build a text-based conversational interface for direct user interaction Use the Cognitive Services Speech API to recognize and interpret speech Look at different models of language, including natural language processing, and how to apply them in your Visual Studio application Reuse Bing search capabilities to better understand a user’s intention Work with recommendation engines and integrate them into your apps Who This Book Is For Developers working on a range of platforms, from .NET and Windows to mobile devices. Examples are given in C#. No prior experience with AI techniques or theory is required.
| Author | : Dan Jurafsky |
| Publisher | : Pearson Education India |
| Total Pages | : 912 |
| Release | : 2000-09 |
| Genre | : |
| ISBN | : 9788131716724 |
| Author | : Nishith Pathak |
| Publisher | : Apress |
| Total Pages | : 321 |
| Release | : 2018-08-14 |
| Genre | : Computers |
| ISBN | : 1484237099 |
Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application
| Author | : Brojo Kishore Mishra |
| Publisher | : CRC Press |
| Total Pages | : 297 |
| Release | : 2020-11-01 |
| Genre | : Science |
| ISBN | : 1000711315 |
This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.
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| Total Pages | : |
| Release | : 2018 |
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| Author | : Dong Yu |
| Publisher | : Springer |
| Total Pages | : 329 |
| Release | : 2014-11-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1447157796 |
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
| Author | : Jeremy Howard |
| Publisher | : O'Reilly Media |
| Total Pages | : 624 |
| Release | : 2020-06-29 |
| Genre | : Computers |
| ISBN | : 1492045497 |
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
| Author | : David J. Gunkel |
| Publisher | : Polity |
| Total Pages | : 320 |
| Release | : 2020-01-07 |
| Genre | : Social Science |
| ISBN | : 9781509533169 |
Communication and artificial intelligence (AI) are closely related. It is communication – particularly interpersonal conversational interaction – that provides AI with its defining test case and experimental evidence. Likewise, recent developments in AI introduce new challenges and opportunities for communication studies. Technologies such as machine translation of human languages, spoken dialogue systems like Siri, algorithms capable of producing publishable journalistic content, and social robots are all designed to communicate with users in a human-like way. This timely and original textbook provides educators and students with a much-needed resource, connecting the dots between the science of AI and the discipline of communication studies. Clearly outlining the topic's scope, content and future, the text introduces key issues and debates, highlighting the importance and relevance of AI to communication studies. In lively and accessible prose, David Gunkel provides a new generation with the information, knowledge, and skills necessary to working and living in a world where social interaction is no longer restricted to humans. The first work of its kind, An Introduction to Communication and Artificial Intelligence is the go-to textbook for students and scholars getting to grips with this crucial interdisciplinary topic.
| Author | : Adnan Masood |
| Publisher | : Apress |
| Total Pages | : 437 |
| Release | : 2019-03-27 |
| Genre | : Computers |
| ISBN | : 1484241061 |
Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries. Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will LearnBuild production-ready solutions using Microsoft Cognitive Services APIs Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK) Solve enterprise problems in natural language processing and computer vision Discover the machine learning development life cycle – from formal problem definition to deployment at scale Who This Book Is For Software engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.
| Author | : Hema Dhingra |
| Publisher | : Goyal Brothers Prakashan |
| Total Pages | : 298 |
| Release | : 2023-05-20 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 9357260242 |
The concept of Robotics and Artifldal Intelligence (AI) has been in practice over the years with the advent of technological progress overtime and is transforming our world in profound and unprecedented ways, with the potential to revolutionise virtually every aspect of our lives. From self-driving cars and personal assistants to medical diagnosis and financial forecasting, AI is rapidly becoming an indispensable tool for solving complex problems and unlocking new opportunities for innovation and progress. As the world becomes increasingly complex and interconnected, robotics has emerged as a critical field that is revolution ising how we live, work and interact with our environment. From manufacturing and transportation to healthcare and education, robots are transforming industries and creating new opportunities for innovation and progress. Keeping this in mind, I.C.S.E. Robotics and Artificial Intelligence for Class 9 has been designed. This book is strictly based on the latest syllabus prescribed by the Council for the Indian School Certificate Examination (CISCE) and is intended to provide a comprehensive overview of the field, exploring the fundamental principles and applications of robotics and AI technology. Based on the latest research and developments in the fields, this book offers a detailed overview of the key concepts and techniques that underpin AI, from machine learning and natural language processing to computer vision and Robotics. This book will provide you with a comprehensive and up-todate understanding of these exciting and rapidly evolving fields keeping in line with ICSE syllabus. Salient Features of this Book • As per the latest syllabus and examination pattern prescribed by the ICSE. • The book is divided into two parts: Part I deals with the Robotics portion. This part consists of three units: Introduction to Robotics, Robot as a System and Concepts in Robotics. Part II deals with the Artificial Intelligence portion. This part consists of rwe units: Introduction to Artificial Intelligence (AI), Role of Data and Information. Evolution of Computing, Introduction to Data and Programming with Python, AI Concepts and AI Project Framework, and Assignments and Laboratory Experiments. • All the concepts explained in a simple language using a step-by-step approach supported by a Lot of illustrations. Chapter-wise Features • Learning Objectives introduces you to the learning outcomes and knowledge criteria covered in the chapter. • Chapter content caters to know about the topic of the chapter which may enrich your knowledge. • Did You Know? provides an interesting piece of knowledge to get the students interested. • Activity encourages students to integrate theory with practice. • Recap sums up the key concepts given in the chapter. • Key Terms are the main terminologies that are present in the chapter. • Each chapter contains an accompanying exercise that will assess students' understanding after they have completed the entire unit by answering the questions given in the exercise. Online Support • E-books (for teachers only). Teadtvs Resource Book • Overview of the chapters • Lesson plan • Answers of the exercise We hope that this book will inspire you to explore the limitless possibilities of Robotics and AI to make meaningful contributions to this dynamic and transformative field. Thus, it is a request to our esteemed readers to share the feedback. suggestions* etc. for the improvement of the book. All your suggestions for the improvement of the book are welcome. -Author
