Data Mining and Machine Learning Applications

This book PDF is perfect for those who love Computers genre, written by Rohit Raja and published by John Wiley & Sons which was released on 26 January 2022 with total hardcover pages 500. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Mining and Machine Learning Applications books below.

Data Mining and Machine Learning Applications
Data Mining and Machine Learning Applications
Author : Rohit Raja
File Size : 53,5 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 26 January 2022
ISBN : 9781119792505
Pages : 500 pages
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Data Mining and Machine Learning Applications by Rohit Raja Book PDF Summary

DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.

Data Mining and Machine Learning Applications

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