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Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification
Author Antonios Alexandridis , Achilleas Zapranis
A step-by-step introduction to modeling, training, and forecasting using wavelet networksWavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the statistical model identification framework that is needed to successf....
Release Date 2014/05 -
Intelligent Systems for Rehabilitation Engineering
Author Roshani Raut , Pranav Pathak , Sandeep Kautish , Pradeep N.
INTELLIGENT SYSTEMS FOR REHABILITATION ENGINEERINGEncapsulates different case studies where technology can be used as assistive technology for the physically challenged, visually and hearing impaired. Rehabilitation engineering includes the development of technological solutions and devices to assis....
Release Date 2022/02 -
Author Terisa Roberts , Stephen J. Tonna
A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers ....
Release Date 2022/09 -
Author Eihab Mohammed Bashier , Muhammad Badruddin Khan , Mohssen Mohammed
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more pra....
Release Date 2016/08 -
Deep Reinforcement Learning in Unity: With Unity ML Toolkit
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and.... -
Natural Language Processing with PyTorch
Author Brian McMahan , Delip Rao
Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practi....
Release Date 2019/02 -
Author Reza Bosagh Zadeh , Bharath Ramsundar
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by....
Release Date 2018/03 -
The Future of Machine Intelligence
Author David Beyer
Advances in both theory and practice are throwing the promise of machine learning into sharp relief. The field has the potential to transform a range of industries, from self-driving cars to intelligent business applications. Yet machine learning is so complex and ....
Release Date 2016/03 -
Author Andrew W. Trask
Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using ....
Release Date 2019/02 -
Grokking Deep Reinforcement Learning
Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You'll see how algorithms function and learn to develop your own DRL agents using evaluative .... -
Author Thushan Ganegedara
Unlock the TensorFlow design secrets behind successful deep learning applications! Deep learning StackOverflow contributor Thushan Ganegedara teaches you the new features of TensorFlow 2 in this hands-on guide. In TensorFlow in Action you will learn: Fundamentals of TensorFlowImplementing deep l....
Release Date 2022/10 -
Multiply Your Business Value Through Brand & AI
Brand building is a competitive advantage that organizations can leverage to multiply their value. Artificial intelligence (AI), is a recent phenomenon that enables organizations reduce errors, build efficiencies and increase profitability, thereby freeing their human capital to perform more intelle.... -
Author Craig Walls
Voice recognition is here at last. Alexa and other voice assistants have now become widespread and mainstream. Is your app ready for voice interaction? Learn how to develop your own voice applications for Amazon Alexa. Start with techniques for building conversational user interfaces and dialog man....
Release Date 2022/04 -
Artificial Intelligence and Software Testing
Author Adam Leon Smith , Rex Black , James Davenport , Joanna Olszewska , Jeremias Rößler
AI presents a new paradigm in the development of software, representing the biggest change to how we think about quality and testing in decades. Many well known issues around AI manifest as quality management problems. This book explores AI from that angle and is aimed at testing and quality managem....
Release Date 2022/03 -
Author Shin Shi
Develop your own computer vision application using the power of Emgu CVPacked with clear explanations and examples of how to deal with computer vision problems in Emgu CVLearn the main features of Emgu CV from the basics to more advanced techniquesEach chapter cover....
Release Date 2013/11 -
Author Micael DaGraça
Jump into the world of Game AI developmentAbout This BookMove beyond using libraries to create smart game AI, and create your own AI projects from scratchImplement the latest algorithms for AI development and in-game interactionCustomize your existing game AI and m....
Release Date 2017/06 -
Author Abhinav Dadhich
A practical guide designed to get you from basics to current state of art in computer vision systems.About This BookMaster the different tasks associated with Computer Vision and develop your own Computer Vision applications with easeLeverage the power of Python, T....
Release Date 2018/02 -
Author Vishnu Subramanian
Build neural network models in text, vision and advanced analytics using PyTorchAbout This BookLearn PyTorch for implementing cutting-edge deep learning algorithms.Train your neural networks for higher speed and flexibility and learn how to implement them in variou....
Release Date 2018/02 -
Intelligent Mobile Projects with TensorFlow
Author Jeff Tang
Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlowAbout This BookBuild TensorFlow-powered AI applications for mobile and embedded devicesLearn modern AI topics such as computer vision, NLP, and deep reinforcement learningGet....
Release Date 2018/05 -
Natural Language Processing and Computational Linguistics
Author Bhargav Srinivasa-Desikan
Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.About This BookDiscover the open source Python text analysis ecosystem, using spaCy, Gens....
Release Date 2018/06 -
Mobile Artificial Intelligence Projects
Author Matt R. Cole , Arun Padmanabhan , Karthikeyan NG
Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorchKey FeaturesBuild practical, real-world AI projects on Android and iOS Implement tasks such as recognizing handwritten digits, sentiment analysis, and more ....
Release Date 2019/03 -
Advanced Natural Language Processing with TensorFlow 2
One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasksKey FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text gener.... -
Machine Learning Using TensorFlow Cookbook
Master TensorFlow to create powerful machine learning algorithms, with valuable insights on Keras, Boosted Trees, Tabular Data, Transformers, Reinforcement Learning and moreKey FeaturesWork with the latest code and examples for TensorFlow 2Get to grips with the fundamentals including variables, matr.... -
Author Andy Pandharikar , Frederik Bussler
Learn how to use artificial intelligence for product and service innovation, including the diverse use cases of Commerce.AIKey FeaturesLearn how to integrate data and AI in your innovation workflowsUnlock insights into how various industries are using AI for innovationApply your knowledge to real in....
Release Date 2022/01 -
Natural Language Processing with TensorFlow - Second Edition
Author Thushan Ganegedara , Andrei Lopatenko
From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) modelsKey FeaturesLearn to solve common NLP problems effectively with TensorFlow 2.xImplement end-to-en....
Release Date 2022/07 -
Introduction to Automata Theory, Formal Languages and Computation
Author Shyamalendu Kandar
Formal languages and automata theory is the study of abstract machines and how these can be used for solving problems. The book has a simple and exhaustive approach to topics like automata theory, formal languages and theory of computation. These descriptions are fo....
Release Date 2013/01