The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets specifically in Internet of Things applications using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data.
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Dive into the world of healthcare data with "Healthcare Analytics Made Simple" by Vikas (Vik) Kumar. Published in 2018, this informative paperback is a guide for enthusiasts and professionals alike, seeking to understand the intricate realm of healthcare analytics.
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Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption.
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Learn how to build end-to-end scalable machine learning solutions with Apache Spark. Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch.
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The item is a book paperback or softback. The Title is Machine Learning for Effective Data Mining. Content Language - English. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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Category - TECHNOLOGY & ENGINEERING / Machinery. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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Directional Change is a new way of summarising price changes in the market. By sampling data in a different way this book lays out concepts which enable the extraction of information that other market participants may not be able to see.
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This book is your entry point to machine learning.This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead you will learn all the important concepts such as exploratory data analysis data preprocessing feature extraction data visualization and clustering classification regression and model performance evaluation.
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