کتاب های موجود در دسته بندی یادگیری ماشین

Distributed Machine Learning and Gradient Optimization (2022) [Jiang et al] [9789811634192]
Published on:
Beginner Machine Learning English

Soft Computing Approach to Pattern Classification and Object Recognition: A Unified Concept
Published on: 2012
Beginner Machine Learning English

Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based …
Proceedings of the Second Annual Workshop on Computational Learning Theory
Published on: 1989
Beginner Machine Learning English

Learning Ray: Flexible Distributed Python for Machine Learning (Final Release)
Published on: 2023
Beginner Machine Learning English

Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With …
Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
Published on: 2021
Beginner Machine Learning English

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods …
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
Published on: 2024
Unordered Machine Learning English

Genomics AI Computer Vision Machine Learning Integration
Genetic Programming: An Introduction
Published on: 1997
Beginner Machine Learning English

Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged …

Evolutionary Algorithms Optimization Computational Systems
Hands-On Time Series Analysis With R: Perform Time Series Analysis And Forecasting Using R
Published on: 2019
Unordered Machine Learning English

Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and …

Time Series Analysis Forecasting R Programming Statistical Methods
An Introduction to Computational Learning Theory
Published on: 1994
Beginner Machine Learning English

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory …
Distributed Machine Learning with Python: Accelerating model training and serving with distributed systems
Published on: 2022
Beginner Machine Learning English

Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD 2000 Lyon, France, September 13–16, 2000 Proceedings
Published on: 2000
Beginner Machine Learning English

This book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, …
Recent Advances in Robot Path Planning Algorithms: A Review of Theory and Experiment
Published on: 2020
Beginner Machine Learning English

The dominant theme of this book is to introduce the different path planning methods and present some of the most …
Pattern classification of biomedical image time-series : computer aided diagnosis
Published on: 2017
Beginner Machine Learning English

This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided …
Operational Freight Carrier Planning Basic Concepts Optimization Models and Advanced Memetic Algorithms
Published on: 2005
Beginner Machine Learning English

Machine Learning. A Constraint-based Approach
Published on: 2018
Beginner Machine Learning English

Reinforcement Learning with TensorFlow: A beginner’s guide to designing self-learning systems with TensorFlow and OpenAI Gym
Published on: 2018
Beginner Machine Learning English

The Big Book of Pregnancy Nutrition: Everything Expectant Moms Need to Know for a Happy, Healthy Nine Months and Beyond
Published on: 2024
Beginner Machine Learning English

The only guide you need to nourishing yourself and your baby from the first through fourth trimesters, from the bestselling …
MACHINE LEARNING WITH PYTORCH AND SCIKIT-LEARN : develop machine learning and deep learning... models with scikit-learn and pytorch.
Published on: 2022
Intermediate Machine Learning English

PyTorch scikit-learn machine learning deep learning models
Handbook of Statistics. Classification, Pattern Recognition and Reduction of Dimension
Published on: 1982
Beginner Machine Learning English

Electric Power System Planning: Issues, Algorithms and Solutions
Published on: 2011
Beginner Machine Learning English

The present book addresses various power system planning issues for professionals as well as senior level and postgraduate students. Its …
Machine Learning: A Bayesian and Optimization Perspective (Solutions) (Instructor's Solution Manual)
Published on: 2020
Beginner Machine Learning English

this is the official complete instructor manual for the *second* edition -- ENJOY!
Bayesian Reasoning and Gaussian Processes for Machine Learning Applications
Published on: 2022
Beginner Machine Learning English

This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. Bayesian methods are applied in many areas, such …
The Big Book of Wooden Locks: Complete Plans for Nine Working Wooden Locks
Published on: 2022
Beginner Machine Learning English

These unique projects for making working locks entirely from wood will present an an exciting challenge to woodworkers. “The Big …
Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
Published on: 2021
Beginner Machine Learning English

This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot …

Metaheuristics Nature-inspired Swarm Intelligence Computational Intelligence Applications
Python Machine Learning 3rd Edition
Published on: 0
Intermediate Machine Learning English

Python Machine Learning Scikit-learn Data Science Algorithms
Artificial Intelligence. A Modern Approach [Global Edition]
Published on: 2016
Beginner Machine Learning English

Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002 Helsinki, Finland, August 19–23, 2002 Proceedings
Published on: 2002
Beginner Machine Learning English

This book constitutes the refereed proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD …
Principles of Data Mining
Published on: 2001
Beginner Machine Learning English

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, …
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Published on: 2018
Intermediate Machine Learning English

Reinforcement Deep Learning OpenAI Gym TensorFlow Python
Applied Reinforcement Learning with Python. With OpenAI Gym, Tensorflow and Keras
Published on: 2019
Beginner Machine Learning English

Python Deep Learning
Published on: 2017
Advanced Machine Learning English

artificial intelligence neural networks TensorFlow Keras Python
Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning and Deep Learning design skills
Published on: 2020
Beginner Machine Learning English

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples. Learn Apply …
Dialogic Inquiry: Towards a Socio-cultural Practice and Theory of Education (Learning in Doing: Social, Cognitive and Computational Perspectives)
Published on: 1999
Beginner Machine Learning English

For more than a quarter century, the polemics surrounding educational reform have centered on two points of view: those that …
Optimization Algorithms: AI techniques for design, planning, and control problems
Published on: 2024
Beginner Machine Learning English

Solve design, planning, and control problems using modern machine learning and AI techniques. In Optimization Algorithms: AI techniques for design, …

Optimization Algorithms AI Design Planning
Computer Vision: Algorithms and Applications
Published on: 2011
Beginner Machine Learning English

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer …
Ambient diagnostics
Published on: 2013
Beginner Machine Learning English

"In everyday life, we often recognize patterns from ad-hoc sensors and make intuitive decisions. This process is known as ambient …
Automate This: How Algorithms Came to Rule Our World
Published on: 2012
Beginner Machine Learning English

The rousing story of the last gasp of human agency and how today’s best and brightest minds are endeavoring to …
An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications (Advances in Computer Vision and Pattern Recognition)
Published on: 2010
Beginner Machine Learning English

Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from …
Python Machine Learning By Example, 4th Edition
Published on: 2024
Beginner Machine Learning English

Unlock machine learning best practices with real-world use cases. 8 customer reviews. Instant delivery. Top rated Data products. Key Features …
Integration of process planning and scheduling : approaches and algorithms
Published on: 2020
Beginner Machine Learning English

"Both process planning and scheduling are very important functions of manufacturing, which affects together the cost to manufacture a product …

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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.