Neural Networks 3

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understandin……続きを見る

A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, ……続きを見る

My goal in this writing is to promote social consciousness and increase awareness and understanding of the “human condition” that we all share, and that ultimately binds us all in our future, and ou……続きを見る

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how ……続きを見る

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R codeKey Features\[\*\]Apply R to simplify predictive modeling with short and simple code\[\*\]Use m……続きを見る

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including……続きを見る

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorith……続きを見る

Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you t……続きを見る

An accessible and comprehensive overview of the economic theory and the realities of networks written by a pioneering economics researcher. Networks are everywhere: the infrastructure that brings wa……続きを見る

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how t……続きを見る

OpenAI's GPT-3, ChatGPT, GPT-4 and Hugging Face transformers for language tasks in one book. Get a taste of the future of transformers, including computer vision tasks and code writing and assistanc……続きを見る

Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipesKey FeaturesUse PyTorch 1.x to design and build self-learning artificial intelligence (AI) ……続きを見る

This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook ins……続きを見る

A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more re……続きを見る

DEEP LEARNING FOR BEGINNERS: Get an accessible introduction to the artificial intelligence technology at the heart of the AI revolutionーfrom driverless cars to speech recognition on mobile phones. ……続きを見る

Build machine learning algorithms using graph data and efficiently exploit topological information within your modelsKey FeaturesImplement machine learning techniques and algorithms in graph dataIde……続きを見る

A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the n……続きを見る

Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key Features Understand the fundamentals of te……続きを見る

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of t……続きを見る

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and fo……続きを見る

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.Key FeaturesDiscover t……続きを見る

Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratchKey FeaturesUnderstand the different architectures for image ge……続きを見る

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like in……続きを見る

Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network frame……続きを見る

Not everything is black and white. Our daily lives are full of vagueness or fuzziness. Language is the most obvious example - for instance, when we describe someone as tall, it is as though there is……続きを見る

This book focuses on computational intelligence techniques and their applications ー fast-growing and promising research topics that have drawn a great deal of attention from researchers over the ye……続きを見る

This book presents fundamental contributions to computer science as written and recounted by those who made the contributions themselves. As such, it is a highly original approach to a “living histo……続きを見る

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in m……続きを見る

This book provides a comprehensive yet easy coverage of ad hoc and sensor networks and fills the gap of existing literature in this growing field. It emphasizes that there is a major interdependence……続きを見る

This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. There……続きを見る