Автор: RODRIGO F MELLO; Moacir Antonelli Ponti Название: Machine Learning ISBN: 3030069494 ISBN-13(EAN): 9783030069490 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main theoretical concepts of Machine Learning. Fundamental concepts of Linear Algebra and Optimization applied to Machine Learning are provided, as well as source codes in R, making the book as self-contained as possible.It starts with an introduction to Machine Learning concepts and algorithms such as the Perceptron, Multilayer Perceptron and the Distance-Weighted Nearest Neighbors with examples, in order to provide the necessary foundation so the reader is able to understand the Bias-Variance Dilemma, which is the central point of the Statistical Learning Theory.Afterwards, we introduce all assumptions and formalize the Statistical Learning Theory, allowing the practical study of different classification algorithms. Then, we proceed with concentration inequalities until arriving to the Generalization and the Large-Margin bounds, providing the main motivations for the Support Vector Machines. From that, we introduce all necessary optimization concepts related to the implementation of Support Vector Machines. To provide a next stage of development, the book finishes with a discussion on SVM kernels as a way and motivation to study data spaces and improve classification results.
Автор: Paluszek, Michael Thomas, Stephanie Ham, Eric Название: Practical matlab deep learning ISBN: 1484279115 ISBN-13(EAN): 9781484279113 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning. Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include: * Aircraft navigation * An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning * Stock market prediction * Natural language processing * Music creation usng generative deep learning * Plasma control * Earth sensor processing for spacecraft * MATLAB Bluetooth data acquisition applied to dance physics What You Will Learn * Explore deep learning using MATLAB and compare it to algorithms * Write a deep learning function in MATLAB and train it with examples * Use MATLAB toolboxes related to deep learning * Implement tokamak disruption prediction * Now includes reinforcement learning Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.
Автор: Sabharwal, Navin Barua, Sudipta Anand, Neha Aggarwal, Pallavi Название: Developing cognitive bots using the ibm watson engine ISBN: 1484255542 ISBN-13(EAN): 9781484255544 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cognitive Virtual Bots are taking the technology and user experience world by storm. This book provides clear guidance on how different cognitive platforms can be used to develop Cognitive Virtual Assistants that enable a conversation by using DialogFlow and advanced Natural Language Processing.
You will start by understanding the technology landscape and various use cases that Cognitive Virtual Assistants can be used in. Early chapters will take you through the basics of Cognitive Virtual Assistants, before moving onto advanced concepts and hands on examples of using IBM Watson Assistant and its advanced configurations with Watson Discovery Services, Watson Knowledge Studio and Spellchecker Service.
You'll then examine integrations that enrich the Cognitive Virtual Assistant by providing data around weather, locations, stock markets. The book concludes by providing a glimpse of what to expect in the future for Cognitive Virtual Assistants.
What You'll Learn
Review the fundamentals of Cognitive Virtual Assistants.
Develop a Cognitive Virtual Assistant from scratch using IBM Watson platform.
Integrate and enrich your Virtual Agent with other services such as weather, location and stocks.
Instantly deliver your bot on major messaging channels such as Skype, SMS, and Webchat
Train your Cognitive Virtual Agent on specific use cases.
Who This Book Is For
AI and machine learning engineers, cognitive solutions architects and developers would find the book extremely useful
Описание: Deep learning enables efficient and accurate learning from data. Developers working with R will be able to put their knowledge to work with this practical guide to deep learning. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time.
Автор: Daniel P. Berrar; Werner Dubitzky; Martin Granzow Название: A Practical Approach to Microarray Data Analysis ISBN: 1441912266 ISBN-13(EAN): 9781441912268 Издательство: Springer Рейтинг: Цена: 7836.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools.
Автор: Mello, Rodrigo Fernandes De Ponti, Moacir Antonelli Название: Machine learning ISBN: 3319949888 ISBN-13(EAN): 9783319949888 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main theoretical concepts of Machine Learning. Fundamental concepts of Linear Algebra and Optimization applied to Machine Learning are provided, as well as source codes in R, making the book as self-contained as possible.
It starts with an introduction to Machine Learning concepts and algorithms such as the Perceptron, Multilayer Perceptron and the Distance-Weighted Nearest Neighbors with examples, in order to provide the necessary foundation so the reader is able to understand the Bias-Variance Dilemma, which is the central point of the Statistical Learning Theory.
Afterwards, we introduce all assumptions and formalize the Statistical Learning Theory, allowing the practical study of different classification algorithms. Then, we proceed with concentration inequalities until arriving to the Generalization and the Large-Margin bounds, providing the main motivations for the Support Vector Machines.
From that, we introduce all necessary optimization concepts related to the implementation of Support Vector Machines. To provide a next stage of development, the book finishes with a discussion on SVM kernels as a way and motivation to study data spaces and improve classification results.
Автор: Ng Название: Flight Systems and Control ISBN: 9811087202 ISBN-13(EAN): 9789811087202 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on flight vehicles and their navigational systems, discussing different forms of flight structures and their control systems, from fixed wings to rotary crafts. Software simulation enables testing of the hardware without actual implementation, and the flight simulators, mechanics, glider development and navigation systems presented here are suitable for lab-based experimentation studies. It explores laboratory testing of flight navigational sensors, such as the magnetic, acceleration and Global Positioning System (GPS) units, and illustrates the six-axis inertial measurement unit (IMU) instrumentation as well as its data acquisition methodology. The book offers an introduction to the various unmanned aerial vehicle (UAV) systems and their accessories, including the linear quadratic regulator (LQR) method for controlling the rotorcraft. It also describes a Matrix Laboratory (MATLAB) control algorithm that simulates and runs the lab-based 3 degrees of freedom (DOF) helicopter, as well as LabVIEW software used to validate controller design and data acquisition. Lastly, the book explores future developments in aviation techniques.
Автор: Haughian, Barry Название: Design, launch, and scale iot services ISBN: 1484237110 ISBN-13(EAN): 9781484237113 Издательство: Springer Рейтинг: Цена: 4611.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The Internet of Things is causing major industry disruption, so companies need to plan and manage their “IoT journey” to maximize all business opportunities. In this book companies can learn how to successfully create, launch and manage Internet of Things services.
It takes the reader through the process of specifying, implementing, and deploying IoT services; detailing how to scale and manage an IoT business. It introduces the fundamentals of IoT services, explaining IoT service building blocks and the key factors to be considered in the design of IoT services.
Moving into the IoT field requires speed. This book provides a fast track approach to IoT; summarizing the global experiences of the author, detailing the discussions, mistakes, successes, learnings and conclusions. Building an Internet of Things Service enables readers to accelerate their own on-boarding in their IoT journey.
What You'll Learn
Create new IoT ServicesReview the basic IoT concepts and business implications you need to know as you embark on your IoT journeySolve the major challenges presented by the IoT disruption.Accelerate your own on-boarding in their IoT journey.
Who This Book Is For
The primary audience is made up of business executives and IoT startups. The secondary audience is students studying IoT in universities and those interested in understanding the fundamentals of an IoT business. No technical background is required.
Автор: Prakash Kolla Bhanu, Srikanth V., Vamsidhar E. Название: Cognitive Engineering for Next Generation Computing ISBN: 1119711088 ISBN-13(EAN): 9781119711087 Издательство: Wiley Рейтинг: Цена: 25178.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a guide for scholars, policymakers, attorneys, teachers, judges, and students interested in the theories, policies, and doctrines of copyright law. Featuring experts from around the world, the handbook offers a systematic, comparative study of copyright in major jurisdictions including the United States, the European Union, and China.
Описание: This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The computational intelligence techniques outlined in the book will help to develop various ways to enhance and utilize signal processing algorithms in the field of biomedical signal processing.
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