Book
Fundamental Mathematical Concepts for Machine Learning in Science
ISBN : 9783031564307
Author : Umberto Michelucci
Publisher : Springer
Year : 2024
Language : English
Type : Book
Description : Introduction Umberto Michelucci Pages 1-8 Machine Learning: History and Terminology Umberto Michelucci Pages 9-20 Calculus and Optimisation for Machine Learning Umberto Michelucci Pages 21-62 Linear Algebra Umberto Michelucci Pages 63-98 Statistics and Probability for Machine Learning Umberto Michelucci Pages 99-135 Sampling Theory (a.k.a. Creating a Dataset Properly) Umberto Michelucci Pages 137-151 Model Validation and Selection Umberto Michelucci Pages 153-184 Unbalanced Datasets and Machine Learning Metrics Umberto Michelucci Pages 185-212 Hyper-parameter Tuning Umberto Michelucci Pages 213-227 Feature Importance and Selection Umberto Michelucci Pages 229-242 Back Matter Pages 243-249
RECOMMENDED BOOKS
Digital Marketing All-In-One For Dummies
Stephanie Diamond
Phytochemical Nanodelivery Systems as Potential Biopharmaceuticals
J. Basilio Heredia
Linear Algebra Tools for Data Mining
Dan A Simovici
5G and Beyond Wireless Communication Networks
Haijian Sun
The A-Z of Primary Teaching
Rebecca Austin
Parasitology A Conceptual Approach
Eric S. Loker
Engineering Applications in Livestock Production
Ayon Tarafdar
Defining Excellence in Simulation Programs
Juli C. Maxworthy