کتاب های موجود در دسته بندی یادگیری ماشین

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
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
Principles of Data Mining and Knowledge Discovery: Third European Conference, PKDD’99, Prague, Czech Republic, September 15-18, 1999. Proceedings
Published on: 1999
Beginner Machine Learning English

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, …
Radon and Projection Transform-Based Computer Vision: Algorithms, A Pipeline Architecture, and Industrial Applications
Published on: 1988
Beginner Machine Learning English

This book deals with novel machine vision architecture ideas that make real-time projection-based algorithms a reality. The design is founded …
Nature-Inspired Optimization Algorithms with Java: A Look at Optimization Techniques
Published on: 2021
Beginner Machine Learning English

Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired …

Java Optimization Nature-Inspired Algorithms Techniques
Evolutionary Computation for Modeling and Optimization (Interdisciplinary Applied Mathematics)
Published on: 2005
Beginner Machine Learning English

Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, …

Algorithms Adaptation Optimization Simulation Multi-objective
Natural Language Processing with Transformers
Published on: 2021
Intermediate Machine Learning English

Since their introduction in 2017, Transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of …

Transformers NLP Deep Learning BERT PyTorch
Introduction to Pattern Recognition and Machine Learning (IISc Lecture Notes - Volume 5)
Published on: 2014
Beginner Machine Learning English

This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides …
Grokking Machine Learning
Published on: 2021
Intermediate Machine Learning English

Discover valuable machine learning techniques you can understand and apply using just high-school math. In Grokking Machine Learning you will …

Beginner Algorithms Intuition Visuals Python
The Psychology of Artificial Superintelligence (Cognitive Systems Monographs, 42)
Published on: 2021
Beginner Machine Learning English

This book explores the psychological impact of advanced forms of artificial intelligence. How will it be to live with a …
Time Series Analysis: Methods and Applications
Published on: 2012
Beginner Machine Learning English

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public …

Time Series Forecasting Statistics Methods Applications
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
Published on: 2019
Intermediate Machine Learning English

Link to the GitHub Repository containing the code examples and additional material:https://github.com/rasbt/python-machi...Many of the most innovative breakthroughs and exciting new …

Python Machine Learning Deep Learning scikit-learn TensorFlow
Machine Learning for Time Series Forecasting with Python
Published on: 2020
Beginner Machine Learning English

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for …

time_series forecasting machine_learning Python modeling
Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing)
Published on: 2005
Unordered Machine Learning English

Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.

DataMining KnowledgeDiscovery MachineLearning AI Algorithms
Machine Learning: A Bayesian and Optimization Perspective
Published on: 2015
Beginner Machine Learning English

This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches -which are based …
Image analysis, classification and change detection in remote sensing : with algorithms for Python
Published on: 2019
Beginner Machine Learning English

"This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of …

Image analysis Classification Change detection Remote sensing Python
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch
Published on: 2024
Unordered Machine Learning English

Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global …

Time Series Forecasting Machine Learning Deep Learning PyTorch
Elements of Causal Inference: Foundations and Learning Algorithms
Published on: 2017
Beginner Machine Learning English

Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python
Published on: 2018
Beginner Machine Learning English

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve …
Tiny Blunders/Big Disasters: Thirty-Nine Tiny Mistakes That Changed the World Forever (Revised Edition)
Published on: 2020
Beginner Machine Learning English

The Elements of Statistical Learning 2e
Published on: 2017
Beginner Machine Learning English

Computational Statistics Handbook with MATLAB
Published on: 2002
Beginner Machine Learning English

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students …

MATLAB Statistics Computing Data Algorithms
Deep Learning for Medical Image Analysis (The MICCAI Society book Series)
Published on: 2017
Beginner Machine Learning English

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future …

DeepLearning MedicalImaging NeuralNetworks HealthcareAI MICCAI
HANDS-ON REINFORCEMENT LEARNING WITH PYTHON - : master reinforcement and deep reinforcement... learning from scratch using openai gym and tensorf.
Published on: 2020
Intermediate Machine Learning English

Reinforcement Python OpenAI Gym TensorFlow Learning
Pattern Recognition and Classification: An Introduction
Published on: 2012
Beginner Machine Learning English

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, …
Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining
Published on: 2015
Beginner Machine Learning English

A hands on guide to web scraping and text mining for both beginners and experienced users of RIntroduces fundamental concepts …
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation
Published on: 2012
Beginner Machine Learning English

As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly …
Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2020
Published on: 2021
Beginner Machine Learning English

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the …
Adversarial Machine Learning
Published on: 2018
Beginner Machine Learning English

The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine …

Security Robustness Attacks Defenses Algorithms
Artificial Superintelligence: A Futuristic Approach
Published on: 2015
Beginner Machine Learning English

A day does not go by without a news article reporting some amazing breakthrough in artificial intelligence (AI). Many philosophers, …
Machine Learning Algorithms: Adversarial Robustness in Signal Processing
Published on: 2022
Beginner Machine Learning English

This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless …

Adversarial Robustness Signal Processing Algorithms
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Published on: 2023
Beginner Machine Learning English

A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. …

Adversarial Machine Learning Attacks Defenses Theories
Practical Time Series Forecasting with R: A Hands-On Guide, 2nd Edition
Published on: 2016
Beginner Machine Learning English

PRACTICAL TIME SERIES FORECASTING WITH R: A HANDS-ON GUIDE, SECOND EDITION provides an applied approach to time-series forecasting. Forecasting is …

Forecasting Time Series R Programming Hands-On Data Analysis
3-D Computer Vision: Principles, Algorithms and Applications
Published on: 2023
Beginner Machine Learning English

This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, "2D Computer Vision: …
Machine and Deep Learning Algorithms and Applications
Published on: 2021
Beginner Machine Learning English

This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. …

MachineLearning DeepLearning Algorithms Applications DataScience

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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.