Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native …
Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressing high impact …
This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, …
This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as …
Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you …
Enterprise interest in machine learning and artificial intelligence continues to grow, with organizations dedicating increasingly large teams and resources to …
Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a …
Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and …
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as …
Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the …
About This Book Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries. …
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning …
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and …
Whether any one technology will prove to be the central one in creating artificial intelligence, or whether a combination of …
This book constitutes the refereed proceedings of the 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and …
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Applied Artificial Intelligence …
The papers in this volume are the referred Applications papers presented at ES 2002, the Twenty-second SGES international Conference on …
Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key Features • Learn, develop, and …
Build smart applications by implementing real-world artificial intelligence projects Key Features • Explore a variety of AI projects with Python …
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. …
Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. …
Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, …
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field …
Foundations and Trends in Information Retrieval Vol. 5, Nos. 2–3 (2011) 103–233Contents:IntroductionTypes of SummariesHow do Summarization Systems Work?Evaluation IssuesWhere Does …
Design, develop, and deploy human-like AI solutions that chat with your customers, solve their problems, and streamline your support services. …
Build a chatbot using the Microsoft Conversational AI platform. This book will teach you, step by step, how to save …
The big challenge for a successful AI project isn't deciding which problems you can solve. It's deciding which problems you …
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data …
Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or …
SummaryMany AI projects are in progress today, and many of them will fail. This book helps you avoid starting an …
Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.
This book is a detailed reference guide on deep learning and its applications. It aims to provide a basic understanding …
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research …
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff …
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