کتاب های موجود در دسته بندی یادگیری ماشین

SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention (Wiley Series on Parallel and Distributed Computing)
Published on: 2020
Beginner Machine Learning English

Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systemsCyber-attacks on …
Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications
Published on: 2023
Beginner Machine Learning English

This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, …

finance machine learning algorithms deep learning applications
Vygotsky's Educational Theory in Cultural Context (Learning in Doing: Social, Cognitive and Computational Perspectives)
Published on: 2003
Beginner Machine Learning English

Innovative ideas in educational psychology, learning, and instruction, originally formulated by Russian psychologist and educator Lev Vygotsky, are currently enjoying …
Machine Learning for Hackers
Published on: 2012
Beginner Machine Learning English

If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of …
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition
Published on: 2019
Beginner Machine Learning English

Cover; Half Title; Title Page; Copyright Page; Table of Contents; Preface to the First Edition; Preface to the Second Edition; …

RemoteSensing ImageAnalysis Classification ChangeDetection PythonAlgorithms
Algorithms of Oppression: How Search Engines Reinforce Racism
Published on: 2018
Beginner Machine Learning English

Run a Google search for “black girls”―what will you find? “Big Booty” and other sexually explicit terms are likely to …
Introduction to machine learning and bioinformatics
Published on: 2008
Beginner Machine Learning English

"Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of …
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Published on: 2015
Beginner Machine Learning English

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if …
Grokking Deep Reinforcement Learning
Published on: 2020
Intermediate Machine Learning English

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We …

Reinforcement Algorithms Learning Neural Training
Nature-Inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
Published on: 2023
Beginner Machine Learning English

We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools …

IoTs Smart Cities Healthcare Automation Algorithms
Mining and Analyzing Social Networks (Studies in Computational Intelligence, 288)
Published on: 2010
Beginner Machine Learning English

Mining social networks has now becoming a very popular research area not only for data mining and web mining but …

SocialNetworks DataMining ComputationalAnalysis NetworkVisualization SocialMedia
Deep Learning with Python, Second Edition
Published on: 2021
Intermediate Machine Learning English

Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from …

Machine Learning Neural Networks Keras TensorFlow AI
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
Published on: 0
Beginner Machine Learning English

The Outrageous Juan Rana <em>Entremeses</em>: A Bilingual and Annotated Selection of Plays Written for This Spanish Age <em>Gracioso</em>
Published on: 2009
Beginner Machine Learning English

The Outrageous Juan Rana Entremeses translates a selection of Juan Rana's interludes for the first time, highlighting their literary complexity …
Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
Published on: 2020
Beginner Machine Learning English

The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence The long-anticipated revision of Artificial Intelligence: A …
Forecasting Principles and Practice 2e
Published on: 2018
Unordered Machine Learning English

Time Series Forecasting Models Techniques
Robot Vision: Strategies, Algorithms and Motion Planning
Published on: 2009
Beginner Machine Learning English

The field of robot vision guidance is developing rapidly. The benefits of sophisticated vision technology include savings, improved quality, reliability, …
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Published on: 2021
Beginner Machine Learning English

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, …
Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning
Published on:
Beginner Machine Learning English

Explainability Interpretability Machine Learning AI Transparency
Distributed Machine Learning Patterns
Published on: 2024
Beginner Machine Learning English

Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Distributed Machine Learning Patterns you will …
Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch
Published on: 2023
Beginner Machine Learning English

Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces …
Instructor’s Manual: Exercise Solutions for «Artificial Intelligence: A Modern Approach, Second Edition»
Published on: 2003
Beginner Machine Learning English

Machine Learning in Action
Published on: 2012
Beginner Machine Learning English

SummaryMachine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of …
Handbook of robust low-rank and sparse matrix decomposition: applications in image and video processing
Published on: 2016
Beginner Machine Learning English

MatrixDecomposition ImageProcessing VideoProcessing LowRank SparseMatrix
Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More
Published on: 2020
Beginner Machine Learning English

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen …
Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python
Published on: 2019
Unordered Machine Learning English

Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence …

Deep Learning Time Series Forecasting Python LSTMs
Planning Algorithms
Published on: 2006
Beginner Machine Learning English

Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, …
Pattern Classification And Learning Theory
Published on: 2002
Beginner Machine Learning English

Pattern classification using ensemble methods
Published on: 2010
Beginner Machine Learning English

Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since …
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
Published on: 2005
Beginner Machine Learning English

Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for …
Computational Intelligence Paradigms in Advanced Pattern Classification
Published on: 2012
Beginner Machine Learning English

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and …
Pattern classification
Published on: 2001
Beginner Machine Learning English

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers …
Nonlinear Time Series: Theory, Methods and Applications with R Examples
Published on: 2014
Beginner Machine Learning English

This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, …

Nonlinear Time Series Theory Methods R
AI algorithms, data structures, and idioms in Prolog, Lisp, and Java
Published on: 2009
Intermediate Machine Learning English

Prolog Lisp Java Algorithms Data Structures
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala (English Edition)
Published on: 2018
Beginner Machine Learning English

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.Key FeaturesExplore machine learning techniques …
Recommender Systems: An Introduction
Published on: 2010
Beginner Machine Learning English

In this age of information overload, people use a variety of strategies to make choices about what to buy, how …

Recommender Systems Algorithms Personalization Techniques
Adaptive Dynamics of Infectious Diseases: In Pursuit of Virulence Management
Published on: 2002
Beginner Machine Learning English

This monograph takes stock of our current knowledge on the evolutionary ecology of infectious diseases, and sets out the goals …

Virulence Evolution Ecology Epidemiology Management
Doing Bayesian Data Analysis, Second Edition: A Tutorial with R, JAGS, and Stan
Published on: 2014
Beginner Machine Learning English

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis …

Bayesian DataAnalysis R JAGS Stan
Deep Learning: Engage the World Change the World
Published on: 2017
Beginner Machine Learning English

Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep …

Deep Learning Engagement Education Innovation Transformation
Adversarial Robustness for Machine Learning
Published on: 2022
Beginner Machine Learning English

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense …

Adversarial Robustness Machine Learning Security

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یادگیری ماشین: گامی به سوی آینده

در بخش "یادگیری ماشین" فروشگاه آنلاین کتاب Refhub.ir، شما به دنیایی از کتاب‌ها و منابع آموزشی دسترسی خواهید داشت که به شما کمک می‌کند تا عمق مفاهیم و کاربردهای یادگیری ماشین را درک کنید و مهارت‌های خود را ارتقا دهید. با استفاده از این کتاب‌ها، می‌توانید پایه‌های قوی در این حوزه بسازید و از تکنیک‌ها و الگوریتم‌های پیشرفته برای حل مسائل پیچیده بهره گیرید.

مبانی یادگیری ماشین

یادگیری ماشین یکی از شاخه‌های مهم و پرکاربرد در علم کامپیوتر و هوش مصنوعی است که به سیستم‌ها امکان می‌دهد تا بدون نیاز به برنامه‌نویسی صریح، از تجربیات خود یاد بگیرند و بهبود پیدا کنند. کتاب‌های این دسته بندی شامل آثاری هستند که به وارد شدن در دنیای یادگیری ماشین و درک اصول اولیه آن پرداخته‌اند. نویسندگان برتر این عرصه، مفاهیم اولیه مانند رگرسیون، طبقه‌بندی، و کاهش ابعاد را با زبانی ساده و قابل فهم توضیح می‌دهند.

الگوریتم‌های پیشرفته و تکنیک‌ها

با پیشرفت تکنولوژی و افزایش داده‌های در دسترس، استفاده از الگوریتم‌های پیچیده‌تر و تکنیک‌های مدرن برای استخراج اطلاعات مفید از داده‌ها بیش از پیش ضروری شده است. در این بخش، کتاب‌هایی را خواهید یافت که به بررسی دقیق الگوریتم‌های پیشرفته مانند شبکه‌های عصبی، یادگیری عمیق، و بینایی ماشین می‌پردازند. این منابع برای افرادی که به دنبال فهم عمیق‌تر و به کارگیری روش‌های پیچیده‌تر هستند، بسیار مناسب می‌باشند.

کاربردهای عملی و تجاری

استفاده از یادگیری ماشین در صنایع مختلف سبب ایجاد تغییرات شگرفی در مسیر کسب و کارها شده است. از حوزه‌های پزشکی و مالی گرفته تا خرده‌فروشی و تولید، یادگیری ماشین موجب بهینه‌سازی فرآیندها و بهبود تصمیم‌گیری‌ها می‌شود. کتاب‌های کاربردی این دسته‌بندی به شما نشان می‌دهند که چگونه می‌توانید یادگیری ماشین را در مسائل واقعی پیاده‌سازی کرده و از قدرت آن برای بهبود کارایی و نوآوری در کسب‌وکار خود استفاده کنید.

راهنمایی و منابع آموزشی

برای فراگیری و بهره‌گیری مؤثر از مفاهیم و تکنیک‌های یادگیری ماشین، داشتن منابع آموزشی مناسب امری ضروری است. در این قسمت، کتاب‌های آموزشی جامعی را خواهید یافت که به شما کمک می‌کنند تا از سطح مبتدی تا پیشرفته ارتقا یابید و مهارت‌های خود را در این زمینه بهبود بخشید. این کتاب‌ها شامل تمرین‌ها و پروژه‌های کاربردی متنوعی هستند که شما را در راه یادگیری تجربه محور یاری می‌دهند.

نتیجه‌گیری

یادگیری ماشین، به عنوان یکی از پایه‌های اصلی فناوری‌های نوظهور، نقش حیاتی در شکل‌دهی آینده علمی و صنعتی ایفا می‌کند. با تهیه کتاب‌های موجود در این دسته‌بندی، شما می‌توانید قدم بزرگی در جهت یادگیری و فهم هرچه بیشتر این علم بردارید. از کتاب‌های مرجع و مبانی گرفته تا موضوعات پیشرفته، همه در یکجا برای شما گردآوری شده است.