Nature-inspired Algorithms and Applied Optimization
Xin-She Yang (ed.)
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.
Xin-She Yang (ed.)
Navdeep Gill,Patrick Hall
Modestus O. Okwu,Lagouge K. Tartibu
Margaux Masson-Forsythe
Tivadar Danka
A. Pajankar,A. Joshi
Kai-Zhu Huang,Hai-Qin Yang,Irwin King,Michael Lyu
Aditya Bhattacharya
Engr. Michael David
Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu, Ilan Filonenko
Satya Prakash Yadav (editor),Dharmendra Prasad Mahato (editor),Nguyen Thi Dieu Linh (editor)
Soma Halder,Sinan Ozdemir
Laurence Moroney
Anirudh Koul,Siddha Ganju,Meher Kasam
Dr. Pablo Rivas
Matthew Moocarme
Susan Shu Chang
Steven L. Brunton,J. Nathan Kutz
Nikhil Pal,Lakhmi C. Jain
SUDHARSAN RAVICHANDIRAN
Asis Kumar Tripathy,Mahasweta Sarkar,Jyoti Prakash Sahoo,Kuan-Ching Li,Suchismita Chinara
Willi Richert,Luis Pedro Coelho
Christos K. Volos
Gerasimos G. Rigatos
Terisa Roberts,Stephen J. Tonna
Denis Rothman
Aurélien Géron
Manjaree Pandit (editor),Hari Mohan Dubey (editor),Jagdish Chand Bansal (editor)
IT Pro - York University.;Skillsoft Books - York University.;Ii, Taweh Beysolow
Alison Rhodes
Aurélien Géron
Faris Elghaish,Farzad Pour Rahimian,Tara Brooks,Nashwan Dawood,Sepehr Abrishami
Shashank Jain