Machine learning

The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition - a task that humans perform routinely and effortlessly in our daily lives - still poses great challenges, especially in unconstrained conditions.

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications.

This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques.

This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques.

Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers.

Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers.

Deep learning is rapidly gaining momentum in the world of finance and trading.

Deep learning is rapidly gaining momentum in the world of finance and trading.

This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the working environments.

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022.

This book describes, extends, and illustrates the metrics of binary classification through worked examples.

This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the working environments.

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022.

This book describes, extends, and illustrates the metrics of binary classification through worked examples.

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In today's world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity.

This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design.

This edited book covers a range of topics related to the use of corpora in translation education, including their standing in corpus-based translation studies, their relationship with machine learning and post-editing, recent advances in learner corpora development and the integration of corpora into translation pedagogy.

It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed the landscape of science in many application domains, ranging from health to defense and from conversational interfaces to autonomous cars.

Over the last decade, there has been a significant shift from traditional mechanistic and empirical modelling into statistical and data-driven modelling for applications in reaction engineering.

Over the last decade, there has been a significant shift from traditional mechanistic and empirical modelling into statistical and data-driven modelling for applications in reaction engineering.

This edited book covers a range of topics related to the use of corpora in translation education, including their standing in corpus-based translation studies, their relationship with machine learning and post-editing, recent advances in learner corpora development and the integration of corpora into translation pedagogy.

This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design.

Traditional DevOps is struggling with new challenges in today's fast-changing software world.

This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area.

This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods.

This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods.

This book provides a thorough overview of recent progress in video object tracking, allowing researchers and industrial practitioners to gain a better understanding of the most important problems and developed technologies in the area.

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines.

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines.

This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16-17, 2023.

Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available.

Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available.

Quantum computers have demonstrated that they have the inherent potential to outperform classical computers in many areas.

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models.

Quantum computers have demonstrated that they have the inherent potential to outperform classical computers in many areas.

This book provides a deep understanding of the relationship between machine learning and causal inference.

Companies today are moving rapidly to integrate generative AI into their products and services.

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow.

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications.

The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time.

Learn and implement responsible AI models using Python.

Learn and implement responsible AI models using Python.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow.

This book delves into a broad spectrum of topics, covering the foundational aspects of Large Language Models (LLMs) such as PaLM, LLaMA, BERT, and GPT, among others.

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard.