Machine learning for dummies
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German Essentials For Dummies
The core concepts you need to write and speak German Learning a new language is a fun and challenging feat for students at every level.
Více informacíPolish For Dummies
The ultimate quick and easy guide to learning Polish Polish can be a difficult language to master. It is pronounced phonetically and has several un
Více informacíPredictive Analytics For Dummies
Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future. All it takes is a little knowledge a
Více informacíRookie Teaching For Dummies
Practical, proven classroom strategies to help first-time teachers For the nearly 200,000 rookie teachers who start out every year, adjusting to classroom realities can be a struggle. That's where this book comes in. Written by a veteran teacher who's been there, done that, it shows rookies how to gain the upper hand with students from day one and make teaching a rewardin...
Více informacíPython For Kids For Dummies
The kid-friendly way to learning coding with Python Calling all wanna-be coders! Experts point to Python as one of the best languages to start with
Více informacíLearning English as a Foreign Language For Dummies
With approximately 1 billion people worldwide learning English, either as a foreign or second language, it's apparent that the English language has a
Více informacíBayesian 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
Více informacíStatistics 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
Více informacíStatistics 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
Více informacíMachine Learning for Experiments in the Social Sciences
Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions.
Více informacíMachine Learning and Data Sciences for Financial Markets
Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores conne
Více informacíUnsupervised 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
Více informacíStochastic 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 informacíNo More Dummies
A practical and fun first experiences novelty book for toddlers learning about ditching the dummy, with parent and carer tips.
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 informacíTeaching English as a Foreign Language For Dummies
Four hundred million people speak English as a native language and there are currently over one billion people learning it. English is the first choic
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
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