Machine learning for physicists
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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
Více informacíThe 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...
Více informacíMachine Learning and Data Science Blueprints for Finance
Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researc
Více informacíMachine Learning for Computer Scientists and Data Analysts
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex n
Více informacíFoundations 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
Více informacíSupervised 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
Více informacíRecent Methods from Statistics and Machine Learning for Credit Scoring
Credit scoring models are the basis for financial institutions like retail and consumer credit banks. The purpose of the models is to evaluate the likelihood of credit applicants defaulting in order to decide whether to grant them credit. The area under the receiver operating characteristic (ROC) curve (AUC) is one of the most commonly used measures to evaluate predictive...
Více informacíMachine Learning for Financial Risk Management with Python
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers,
Více informacíAI 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
Více informacíPractical Machine Learning for Computer Vision, End-to-End Machine Learning for Images O'Reilly Media
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques....
Více informacíMachine 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
Více informacíArchitecting Data and Machine Learning Platforms
This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Clou
Více informacíEncyclopedia 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
Více informacíMachine 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...
Více informacíMachine 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...
Více informacíMachine 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
Více informacíAI, 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 ...
Více informacíComputational Methods for Deep Learning
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively
Více informacíProgramming PyTorch for Deep Learning
Take the next steps toward mastering deep learning, the machine learning method thatÂ’s transforming the world around us by the second. In this practi
Více informacíAutomated Design of Machine Learning and Search Algorithms
Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automate
Více informacíMachine Learning Control – Taming Nonlinear Dynamics and Turbulence
This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. In Chapter 5, MLC detects an
Více informacíLinear 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...
Více informacíIoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems
This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power
Více informacíApplications 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 ...
Více informacíPost-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....
Více informacíAI and Machine Learning For Coders, A Programmer's Guide to Artificial Intelligence O'Reilly Media
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 successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics....
Více informacíApplications 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...
Více informacíPractical Deep Learning
A book for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction using Python.
Více informacíDeep Learning from Scratch
With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engi
Více informacíExam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Prepares students for Microsoft Exam 70-774-and helps them demonstrate real-world mastery of performing key data science activities with Azure Machine
Více informacíRecent 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...
Více informacíRecent 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...
Více informacíMachine 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-...
Více informacíHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e, Concepts, Tools, and Techniques to Build Intelligent Systems O'Reilly Media
This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems....
Více informacíDeep Learning and Its Applications for Vehicle Networks Taylor & Francis Ltd
This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: 1. DL for vehicle safety and security, 2. DL for effective vehicle communications, 3. DL for vehicle control, 4. DL for information management, 5. Other applications. The DL and its variants will play more important roles in cogn...
Více informacíAlgorithms for Convex Optimization
Algorithms for Convex Optimization are the workhorses of data-driven, technological advancements in machine learning and artificial intelligence. This
Více informacíAI for Physics
Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications
Více informacíAI for Physics
Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications
Více informacíTime Series for Data Scientists
Learn by doing with this guide to classical and contemporary machine learning approaches to time series data analysis. With data sets, commented R pro
Více informacíStandards for the Control of Algorithmic Bias
Governments around the world use machine learning in automated decision-making systems for a broad range of functions. This book seeks to answer the q
Více informacíAI for Finance Taylor & Francis Ltd
How could Finance benefit from AI? How can AI techniques provide an edge? Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions....
Více informacíAI for Finance Taylor & Francis Ltd
How could Finance benefit from AI? How can AI techniques provide an edge? Moving well beyond simply speeding up computation, this book tackles AI for Finance from a range of perspectives including business, technology, research, and students. Covering aspects like algorithms, big data, and machine learning, this book answers these and many other questions....
Více informacíArtificial Intelligence, Blockchain and IoT for Smart Healthcare
This book presents a cross-disciplinary perspective on the concept of machine learning, blockchain and IoT by congregating cutting-edge research and i
Více informacíLearn to Sew for Your Doll: A Beginner's Guide to Sewing for an 18" Doll
If you would like to teach a special child how to sew, this book presents a series of skills in a learning sequence that takes the new seamstress from the first use of a sewing machine through making an attractive wardrobe for a doll. The book gives the
Více informacíComputational Intelligence for Cybersecurity Management and Applications Taylor & Francis Ltd
As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. The book offers comprehensive coverage of the essential topics, including machine Learning and Deep Learning for cybersecurity, blockchain for cybersecurity and privacy, security engineering for Cyber-physical s...
Více informacíHands-On Data Science for Librarians Taylor & Francis Ltd
This book focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports and machine learning. By walking through each skill and its application to library work before walking the reader through each line of c...
Více informacíHands-On Data Science for Librarians Taylor & Francis Ltd
This book focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports and machine learning. By walking through each skill and its application to library work before walking the reader through each line of c...
Více informacíLaser-based Technologies for Sustainable Manufacturing Taylor & Francis Ltd
The text discusses optical, and laser-based green manufacturing technologies and their application in diverse engineering fields including mechanical, electrical, biomedical, and computer. It further covers sustainability issues in laser-based manufacturing technologies and the development of laser-based ultra-precision manufacturing techniques. The text also discusses th...
Více informací6G-Enabled IoT and AI for Smart Healthcare Taylor & Francis Ltd
6G-enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. It details the role that Machine Learning-based Deep Learning and 6G-enabled IoT concepts play...
Více informacíHandbook of Matching and Weighting Adjustments for Causal Inference Taylor & Francis Ltd
This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the...
Více informacíSensing and Artificial Intelligence Solutions for Food Manufacturing Taylor & Francis Ltd
This book gives readers a practical introduction to machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories and prepares the reader to tackle the complex issues around large amounts of data within...
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