Concepts, tools, and techniques to explore deep learning architectures and methodologies
Key Features
Explore advanced deep learning architectures using various datasets and frameworks
Implement de……続きを見る
While other books focus on special internet registers, like tweets or texting, no previous study describes the full range of everyday registers found on the searchable web. These are the documents t……続きを見る
著者:Marcus du Sautoy
出版社: HarperCollins Publishers
発売日: 2019年03月07日
Will a computer ever compose a symphony, write a prize-winning novel, or paint a masterpiece? And if so, would we be able to tell the difference?
As humans, we have an extraordinary ability to creat……続きを見る
Create conversational UIs using cutting-edge frameworks
Key Features
Build AI chatbots and voicebots using practical and accessible toolkits
Design and create voicebots that really shine in front o……続きを見る
Learn advanced techniques to improve the performance and quality of your predictive models
Key Features
Use ensemble methods to improve the performance of predictive analytics models
Implement feat……続きを見る
著者:Dr Phoebe Lin
出版社: Bloomsbury Publishing
発売日: 2018年09月20日
To apply the same approaches to analysing spoken and written formulaic language is problematic; to do so masks the fact that the contextual meaning of spoken formulaic language is encoded, to a larg……続きを見る
This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principle……続きを見る
Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch
Key Features
Build practical, real-world AI projects on Android and iOS
Implement tasks……続きを見る
Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more
Key Features
Apply popular machine learning algorithms using a recipe-based approach
I……続きを見る
Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras
Key Features
Get to grips ……続きを見る
Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learn
Key Features
Develop a range of healthcare analytics projects using real-world datasets
Implement key ……続きを見る
Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems.
Key Features
Assimilate key NLP concepts and terminologies
Explore popular NLP t……続きを見る
Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects
Key Features
Use machine learning and deep learni……続きを見る
Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning
Key Features
A no-math, code-dri……続きを見る
Create end-to-end systems that can power robots with artificial vision and deep learning techniques
Key Features
Study ROS, the main development framework for robotics, in detail
Learn all about co……続きを見る
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Are you thinking of mastering deep learning fundamentals?
If you are looking for a complete introduction to deep learning, this book is for you. If ……続きを見る
Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpu……続きを見る
著者:Paul Cairns
出版社: Cambridge University Press
発売日: 2019年02月07日
Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these to……続きを見る
Build smarter systems by combining artificial intelligence and the Internet of Thingsーtwo of the most talked about topics todayKey FeaturesLeverage the power of Python libraries such as TensorFlow ……続きを見る
出版社: Springer International Publishing
発売日: 2019年02月08日
This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. I……続きを見る
著者:James Gabriel
出版社: AI Sciences Publishing
発売日: 2019年02月08日
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Are you thinking of mastering deep learning using Python (Pandas, Numpy, Scikit-learn, Keras and TensorFlow)?
If you are looking for a complete intr……続きを見る
This handbook presents an overview of the phenomenon of reference - the ability to refer to and pick out entities - which is an essential part of human language and cognition. In the volume's 21 cha……続きを見る
This comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies. Highlights include the latest in the eva……続きを見る
Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, w……続きを見る
This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine tra……続きを見る
This handbook is the first to explore the growing field of experimental semantics and pragmatics. In the past 20 years, experimental data has become a major source of evidence for building theories ……続きを見る
A Practical Guide to XLIFF 2.0 introduces the OASIS XLIFF standard. Companies use XLIFF to standardize the exchange of source and localized content with localization and translation vendors.
You wil……続きを見る
With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research ad……続きを見る
This handbook deals with research into the nature of events, and how we use language to describe events. The study of event structure over the past 60 years has been one of the most successful areas……続きを見る
This is a book for developers, who not only want to learn how to develop software for Alexa but also want to make money with Alexa.
Voice assistants - such as Alexa - have one of the highest adoptio……続きを見る