Image analysis, classification and change detection in remote sensing : with algorithms for Python
Canty,Morton John
Discover references
Machine Learning, a subset of artificial intelligence, focuses on the development of algorithms that enable computers to learn from and act on data. It's a rapidly evolving field that is transforming industries worldwide. At Refhub.ir, we offer a comprehensive collection of machine learning books to cater to everyone from beginners to seasoned professionals.
Described as one of the most exciting technologies of our time, Machine Learning is at the forefront of technological evolution. Reading books in this field not only equips you with foundational knowledge but also keeps you updated with the latest advancements and methodologies. Our carefully curated selection of books covers a wide range of topics including predictive analytics, neural networks, deep learning, and natural language processing.
Whether you're just starting out or looking to deepen your understanding of complex algorithms, our Machine Learning category has something for you.
Beginners can dive into introductory books that break down the basics of ML models, data processing, and essential algorithms in an easy-to-understand manner. Advanced learners and specialists will appreciate technical books that delve into sophisticated machine learning models and techniques, practical case studies, and real-world applications.
Our collection focuses on both foundational concepts and cutting-edge developments in Machine Learning.
Mastering machine learning can unlock new career opportunities and enhance your data-driven decision-making skills. Learning from our selection of books will help you to:
Our online platform is designed to enhance your book-browsing experience with user-friendly features and intuitive categorization. With dedicated support and periodic updates to our catalog, Refhub.ir is your ideal partner in mastering machine learning.
The field of Machine Learning is rapidly evolving, and staying ahead of the curve is essential. Whether your interest lies in theoretical concepts or practical applications, our diverse selection of books offers the resources you need to excel.
Embrace the power of learning and equip yourself with the knowledge to thrive in today's digital world. Explore our Machine Learning category and make your learning journey both insightful and enriching.
Canty,Morton John
Finn B. Jensen,Thomas Graven-Nielsen

Tyutyunnik, Alexander (author);Lazarev, Alexey (author)
Susan Shu Chang
Dr. Jorge L. C. Sanz,Eric B. Hinkle,Professor Anil K. Jain (auth.)
Karthik Ramasubramanian,Jojo Moolayil

Banharnsakun, Anan
Dong, Guozhu;Liu, Huan
Issam El Naqa,Martin J. Murphy
Canty,Morton John
Matt J. Keeling,Pejman Rohani
Kevin Ashley

Wang, Zhongmin; Zhou, Xiaoxiao; Wang, Wenlang; Liang, Chen
Jonas Peters,Dominik Janzing,Bernhard Scholkopf
Steven L. Brunton,J. Nathan Kutz
Shilpa Choudhary
John D. Kelleher,Brian Mac Namee,Aoife D’Arcy
Ulf Dieckmann,Johan A. J. Metz,Maurice W. Sabelis,Karl Sigmund (editors)
Anubhav Singh,Rimjhim Bhadani
Dietmar Jannach,Markus Zanker,Alexander Felfernig,Gerhard Friedrich
Hayley Horn, Anastasia Prokaieva, Amanda Baker, Stephanie Rivera
Julio Cesar Rodriguez Martino
Margaux Masson-Forsythe
Robert E. Schapire (auth.),Paul Fischer,Hans Ulrich Simon (eds.)
Anis Koubaa,Hachemi Bennaceur,Imen Chaari,Sahar Trigui,Adel Ammar,Mohamed-Foued Sriti,Maram Alajlan,Omar Cheikhrouhou,Yasir Javed
Joachim Diederich
Jeff Prosise
Saleh Alkhalifa
Lise Getoor;Ben Taskar
Luis Pedro Coelho,Willi Richert
Thiruselvan Subramanian,Archana Dhyani,Adarsh Kumar,Sukhpal Singh Gill
Wei Di,Anurag Bhardwaj,Jianing Wei
Dong Yu,Li Deng (auth.)