Art of machine learning
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Machine Learning
Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures,
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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
The architecture profession is changing. Practices must stay abreast of new developments in AI or risk being leftbehind. Architecture's best-known t
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Machine Learning
The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast
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Encyclopedia of Data Science and Machine Learning
Examines state-of-the-art research in the areas of data science, machine learning, data mining, and more. The book provides an international forum for
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Machine Learning in Image Steganalysis
Steganography is the art of communicating a secret message, hiding the very existence of a secret message. This book is an introduction to steganalysi
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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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Cultural Life of Machine Learning
This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and i
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Mathematics for Machine Technology
Reflecting the technology and tools of the trade, this book provides the mathematical skills and practice that students and apprentices can use on the
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Understanding Machine Learning
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the
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Automated Machine Learning
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of ex
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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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Managing Machine Learning Projects
For anyone interested in better management of machine learning projects from idea to production. Managing Machine Learning Projects is a comprehensive
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Machine Learning for Engineers
All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now em
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Machine Learning for Engineers
All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now em
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Machine Learning Pocket Reference
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison
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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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Practicing Trustworthy Machine Learning
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models
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Reliable Machine Learning
Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run
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Art of Learning
Chess and martial arts champion Josh Waitzkin lays out his battle-tested principles of learning and performance to give readers tools for excellence a
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Machine Age of Customer Insight
The Machine Age of Customer Insight demonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of
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Machine Learning for Signal Processing
Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two
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Machine Learning for Signal Processing
Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the mos
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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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Machine Learning in Radiation Oncology
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and
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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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Mathematical Analysis of Machine Learning Algorithms
This self-contained textbook introduces students and researchers of AI to the key mathematical concepts and techniques necessary to learn and analyze
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Machine Learning with Neural Networks
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fundam
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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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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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Practical Simulations for Machine Learning
With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforce
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Building Machine Learning Powered Applications
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youÂ’
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Pattern Recognition and Machine Learning
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. In particular, Bayesian methods have grown
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Machine Learning for Asset Managers
The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is n
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Data Mining and Machine Learning
This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in ex
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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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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 Machine Learning in Big-Data Analytics and Cloud Computing
This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will describe
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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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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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Cyber Security Cryptography and Machine Learning
This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018,
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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 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 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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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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Introduction to Machine Learning with Python
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies
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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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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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Probabilistic Machine Learning for Finance and Investing
By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical fra
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Python for Probability, Statistics, and Machine Learning
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machi
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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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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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Applications of Machine Learning and Artificial Intelligence in Education
Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instruction
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Statistical Physics of Data Assimilation and Machine Learning
The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statistical
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