Introduction to machine learning
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Programming Machine Learning
Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard
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Machine Learning for Engineers
Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine learning principles to real-w
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Machine Learning Refined
An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, rea
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Machine Learning Design Patterns
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors catalog proven methods to
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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 Safety
Machine learning algorithms allow computers to learn without being explicitly programmed. and adversarial training, which is used to enhance the train
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Scaling up Machine Learning
In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or t
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Mathematics for Machine Learning
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum o
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Mathematics for Machine Learning
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum o
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Kubeflow for Machine Learning
This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models sca
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Designing Machine Learning Systems
In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environment
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Machine Learning Interviews
In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process.
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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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Effective Machine Learning Teams
With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a prac
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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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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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Atkinson and Hilgard's Introduction to Psychology Cengage Learning EMEA
Now in its 16th edition, this book reflects all research developments, theories and ideas, whilst also retaining all of the qualities which have established it as a leading undergraduate psychology textbook over the years, including its highly accessible and engaging student-centred approach....
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Empowerment Series: An Introduction to the Profession of Social Work
Introduces readers to the social work profession and describes the role of social worker in the social welfare system. Through case studies, personal
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Empowerment Series: Introduction to Social Work and Social Welfare
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Engineering Fundamentals An Introduction to Engineering, SI Edition
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Empowerment Series: Introduction to Social Work and Social Welfare
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Microsoft Visual C#: An Introduction to Object-Oriented Programming
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Empowerment Series: An Introduction to the Profession of Social Work
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Empowerment Series: Introduction to Social Work a Social Welfare
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Introduction to Environmental Data Science
This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range
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Introduction to Artificial Intelligence (AI)
This book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics.
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Guide to Applied Machine Learning for Biologists
This textbook is an introductory guide to applied machine learning, specifically for biology students.
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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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Introduction to Foreign Language Learning and Teaching
An Introduction to Foreign Language Learning and Teaching provides an engaging, student-friendly guide to the field of foreign language learning and t
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Introduction to Problem-Based Learning
Introduction to Problem-based Learning teaches students how to work with the problem-based learning method, which requires mainly self-directed learni
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Statistics, Data Mining, and Machine Learning in Astronomy
Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data set
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Unsupervised Machine Learning for Clustering in Political and Social Research
Offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understan
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Foundations of Programming, Statistics, and Machine Learning for Business Analytics
This book provides an introduction to the key concepts in programming, statistics and machine learning needed by business analytics students, assuming
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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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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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Machine Learning with Python Cookbook
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work.
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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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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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AI and Machine Learning for On-Device Development
This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. It offers an introduction to ma
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Scaling Machine Learning with Spark
With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You
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Learning: A Very Short Introduction
This Very Short Introduction looks at the nature of learning and how it takes place. From the early experiments of Pavlov, Thorndike, and others to th
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Neural Machine Translation
Deep learning is revolutionizing how machine translation systems are built today. This introduction to machine translation starts from the basics of n
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Signal Processing and Machine Learning with Applications
Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligenc
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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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Practical Machine Learning for Computer Vision
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn ho
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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 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 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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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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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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AI and Machine Learning For Coders
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely succ
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