Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)

Introduction to Transfer Learning: Algor

📁 Introduction to Transfer Learning: Algorithms and Practice

✍ Jindong Wang, Yiqiang Chen 📂 Library 📅 2023 🏛 Springer 🌐 English

<p><span>Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and

Introduction to Transfer Learning. Algor

📁 Introduction to Transfer Learning. Algorithms and Practice

✍ Jindong Wang, Yiqiang Chen 📂 Library 📅 2023 🏛 Springer 🌐 English

Machine Learning: The Basics (Machine Le

📁 Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)

✍ Alexander Jung 📂 Library 📅 2022 🏛 Springer 🌐 English

<span><div>Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. </div><div><br></div><div>This book approaches ML as the computa

Machine Learning: The Basics (Machine Le

📁 Machine Learning: The Basics (Machine Learning: Foundations, Methodologies, and Applications)

✍ Alexander Jung 📂 Library 📅 2022 🏛 Springer 🌐 English

<span><div>Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. </div><div><br></div><div>This book approaches ML as the computa

Machine Learning Refined: Foundations, A

📁 Machine Learning Refined: Foundations, Algorithms, and Applications

✍ Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos 📂 Library 📅 2016 🏛 Cambridge University Press 🌐 English

Machine Learning Refined: Foundations, A

📁 Machine Learning Refined: Foundations, Algorithms, and Applications

✍ Jeremy Watt; Reza Borhani; Aggelos Katsaggelos 📂 Library 📅 2020 🏛 Cambridge University Press 🌐 English

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applica