Machine learning taylor francis ltd
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Machine Learning Taylor & Francis Ltd
This book starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A com...
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The Pragmatic Programmer for Machine Learning Taylor & Francis Ltd
Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life, yet software engineering has played a remarkably small role compared to other disciplines. Comprising a complete overview of how to design machine learning pipelines, this book provides a multi-disciplinary view of how traditional software learning...
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Recent Advances in Material, Manufacturing, and Machine Learning Taylor & Francis Ltd
The International Conference on Recent Advances in Materials, Manufacturing and Machine Learning (RAMMML-2022)” is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. It brings together both industrial and academic professionals including leading academic scientists, resea...
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Recent Advances in Material, Manufacturing, and Machine Learning Taylor & Francis Ltd
The International Conference on Recent Advances in Materials, Manufacturing and Machine Learning (RAMMML-2022)” is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. It brings together both industrial and academic professionals including leading academic scientists, resea...
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Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Taylor & Francis Ltd
Physical Chemistry...
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Machine Learning for Managers Taylor & Francis Ltd
Machine learning tools can help managers gain invaluable insights from business data, simplify complex tasks and improve business operations. Managers who are proficient in machine learning often navigate better in the increasingly digitalised landscape. There is however a common misconception that machine learning is difficult to pick up. This book is for managers who ha...
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Machine Learning for Managers Taylor & Francis Ltd
Machine learning tools can help managers gain invaluable insights from business data, simplify complex tasks and improve business operations. Managers who are proficient in machine learning often navigate better in the increasingly digitalised landscape. There is however a common misconception that machine learning is difficult to pick up. This book is for managers who ha...
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Machine Learning in Translation Taylor & Francis Ltd
Machine Learning in Translationintroduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation t...
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Machine Learning in Translation Taylor & Francis Ltd
Machine Learning in Translationintroduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation t...
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Linear Algebra With Machine Learning and Data Taylor & Francis Ltd
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and t...
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Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques Taylor & Francis Ltd
Phytoremediation of Domestic Wastewater with the Internet of Things and Machine Learning Techniques highlights the most recent advances in phytoremediation of wastewater using the latest technologies....
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Machine Learning
This book starts with basic conceptual level of machine learning and goes on to explain the basis of machine learning algorithms. The mathematical fou
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Machine Learning in Translation
Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approachin
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Machine Learning for Managers
This book is for managers who have been afraid of machine learning but want to understand it. It helps managers understand how machine learning works,
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Machine Learning with oneAPI
Intel OneAPI is a unified programming model and software development kit (SDK) that empowers developers to generate high performance applications that
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Transformers for Machine Learning
Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition,
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AI, Machine Learning and Deep Learning
Today AI and Machine/Deep Learning have become the hottest areas in the information technology. This book aims to provide a complete picture on the ch
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AI, Machine Learning and Deep Learning Taylor & Francis Ltd
In our society, there are so many intelligent devices that rely on AI/ML/DL algorithms/tools for smart operations. Since the AI/ML/DL security is a new emergent field, many researchers and industry people cannot obtain detailed, comprehensive understanding of this area. This book aims to provide a complete picture on the challenges and solutions to the security issues in ...
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Machine Learning for Business Analytics
Machine Learning is an integral tool in a business analystÂ’s arsenal because the rate at which data is being generated from different sources is incr
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First Course in Machine Learning
The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edit
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Data Science and Machine Learning
The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone inter
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Applied Machine Learning Using mlr3 in R Taylor & Francis Ltd
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. This book gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R....
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Machine Learning for Criminology and Crime Research
Machine Learning for Criminology and Crime Research reviews the roots of the intersection between machine learning, Artificial Intelligence, and resea
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Machine Learning on Commodity Tiny Devices
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning
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Behavior Analysis with Machine Learning Using R
This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on
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Machine Learning for the Physical Sciences
This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those f
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Machine Learning Toolbox for Social Scientists
Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. Th
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Machine Learning and AI in Finance
This book explores advances in the application of innovative machine learning and artificial intelligence models to predict financial time series, to
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Machine Learning in Healthcare and Security
The book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the
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Applied Machine Learning Using mlr3 in R
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. This book giv
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Intelligent Systems and Machine Learning for Industry
The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. I
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Linear Algebra With Machine Learning and Data
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study app
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Hands-On Machine Learning with R
This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R pro
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Machine Learning for Factor Investing: R Version
The aim of the book is to give an interpretation of ML tools through the lens of factor investing. Concepts illustrated with examples on the same (pub
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Machine Learning and Deep Learning in Natural Language Processing
This book aims at providing a review of current Neural Network techniques in the NLP. The book is intended for a wide audience: beginners will find ch
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Applications of Machine Learning and Deep Learning on Biological Data Taylor & Francis Ltd
Machine Learning and Deep Learning applied to biological and neuroimaging data opens up new frontiers for biomedical engineering, such as refining our understanding of complex diseases such as neurodegenerative and psychiatric disorders or cancer. This book strives to provide readers a comprehensive understanding of the application of Machine Learning and Deep Learning in...
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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
The book talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. It contains recent advancement in machine learning an
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Statistics and Machine Learning Methods for EHR Data
The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and
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Statistics and Machine Learning Methods for EHR Data
The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and
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Machine Learning and Artificial Intelligence in Healthcare Systems
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining des
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Stochastic Optimization for Large-scale Machine Learning
Stochastic Optimization for Large-scale Machine Learning identifies different areas of improvement and recent research directions to tackle the challe
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Introduction to Machine Learning with Applications in Information Security
This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information
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Large-Scale Machine Learning in the Earth Sciences
Large-scale machine learning could prove highly beneficial in the study of earth science, a broad, multidisciplinary field of study that generates hug
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Supervised Machine Learning for Text Analysis in R
This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking development
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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of avail
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Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development Taylor & Francis Ltd
The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective ...
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Machine Learning and Internet of Things in Solar Power Generation Taylor & Francis Ltd
The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified Pa O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-...
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Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data Taylor & Francis Ltd
This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science....
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Machine Learning and the Internet of Things in Solar Power Generation
The text investigation various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ide
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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step
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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step
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Applications of Optimization and Machine Learning in Image Processing and IoT
This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals. The applications of machine learning
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Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
The book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems
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Joyful Learning Taylor & Francis Ltd
Joyful Learning: Tools to Infuse Your 6-12 Classroom with Meaning, Relevance, and Fun is a guide for teachers seeking to energize their practice and deeply engage students. Practical strategies are included in each chapter, such as how to write rubrics that foster effective feedback, how to incorporate performance and competency-based assessment, and how to have students ...
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Joyful Learning Taylor & Francis Ltd
Joyful Learning: Tools to Infuse Your 6-12 Classroom with Meaning, Relevance, and Fun is a guide for teachers seeking to energize their practice and deeply engage students. Practical strategies are included in each chapter, such as how to write rubrics that foster effective feedback, how to incorporate performance and competency-based assessment, and how to have students ...
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Deep Learning in Visual Computing
This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning.
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Recommender Systems Taylor & Francis Ltd
This book presents a multi-disciplinary approach for development of Recommender Systems. It explains different types of pertinent algorithms with their comparative analysis, and their role for different applications. It explains Big Data behind Recommender System, marketing benefits, making good decision support systems, role of machine learning and artificial networks, a...
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Deep Learning in Time Series Analysis
The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content
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