Sprache:
Unbestimmte Sprache
Seiten:
1 Online-Ressource
Kurzfassung:
With the increasing data volume today, various methods and techniques are needed to make data-based decisions. Machine learning, which is a subset of artificial intelligence and has been frequently used for this purpose in recent years, has achieved great success in a wide variety of fields, ranging from education to production, and health to logistics. The ability to learn is the most basic feature of intelligence, and the purpose of machine learning is to try to develop machines that have the same intelligence level as humans. Machine learning is not only a technology but also a field that brings together many disciplines, embraces a wide audience, including students, researchers, and professionals, and has been developing rapidly and carrying us into the future. Another main focus is to investigate the accuracy with which programmed computers and machines produce results. Thus, the theoretical knowledge within this field and the principles of the algorithms to be used in the systems have gradually advanced. The best way to obtain information about a subject is to look at it from all perspectives. For this reason, it is thought to be very important to understand and learn the theory, approaches, problems, algorithms, and assumptions of machine learning.This book aims to provide a comprehensive guide to readers who want to gain knowledge and application skills in machine learning, especially on how to work with supervised and unsupervised learning algorithms using the powerful capabilities of the Microsoft Azure Machine Learning Studio (classic) Platform. Microsoft Azure Machine Learning Studio (classic) platform helps users in the process of obtaining information from data by providing many conveniences to users in developing cloud-based machine learning applications and distributing them as a web service.This book will guide researchers working on machine learning in fields such as computer science, engineering, statistics, and social sciences. It will also be a guide for engineers who will develop a certain application with basic methods. The book, which consists of ten chapters including theoretical and empirical studies, aims to eliminate the lack of resources in the Turkish literature about the Microsoft Azure Machine Learning Studio (classic) platform
