Machine Learning - Fundamentals and Applications
Fouad Sabry
Maison d'édition: One Billion Knowledgeable
Synopsis
What Is Machine Learning Machine learning (ML) is a subfield of computer science that focuses on the study and development of methods that enable computers to "learn." These are methods that make use of data in order to enhance a computer's performance on a certain set of tasks. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Machine learning Chapter 2: Big data Chapter 3: Self-driving car Chapter 4: Unsupervised learning Chapter 5: Supervised learning Chapter 6: Statistical learning theory Chapter 7: Computational learning theory Chapter 8: Automated machine learning Chapter 9: Differentiable programming Chapter 10: Reinforcement learning (II) Answering the public top questions about machine learning. (III) Real world examples for the usage of machine learning in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of machine learning' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of machine learning.
Disponible depuis: 04/07/2023.
Longueur d'impression: 141 pages.
