Introduction to Machine Learning
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The study of computer algorithms which aim to improve automatically through experience is defined as machine learning. It is also considered as a part of artificial intelligence. Machine learning algorithms build models based on sample data or training data, in order to make predictions without being explicitly programmed to do so. They are used in a wide variety of applications, such as email filtering and computer vision. It is also used in conditions wherein it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. The discipline of machine learning allow...
The study of computer algorithms which aim to improve automatically through experience is defined as machine learning. It is also considered as a part of artificial intelligence. Machine learning algorithms build models based on sample data or training data, in order to make predictions without being explicitly programmed to do so. They are used in a wide variety of applications, such as email filtering and computer vision. It is also used in conditions wherein it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. The discipline of machine learning allows computers to discover how they can perform tasks without the need of any explicit programing. It focuses on computers learning from the data provided allowing them to carry out certain tasks. This book presents the complex subject of machine learning in the most comprehensible and easy to understand language. While understanding the long-term perspectives of the topics, it makes an effort in highlighting their impact as a modern tool for the growth of the discipline. This book will provide comprehensive knowledge to the readers.
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