Machine Learning: Theoretical Foundations and Practical Applications

Machine Learning: Theoretical Foundation

📁 Machine Learning: Theoretical Foundations and Practical Applications

✍ Manjusha Pandey; Siddharth Swarup Rautaray 📂 Library 📅 2021 🏛 Springer 🌐 English

This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowle

Introduction to Transfer Learning: Algor

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

✍ Jindong Wang 📂 Library 🌐 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