File Name: big data and machine learning .zip
This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics.
Data mining. With big data analytics comes big insights into profitability. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line.
Note that while every book here is provided for free, consider purchasing the hard copy if you find any particularly helpful. In many cases you will find Amazon links to the printed version, but bear in mind that these are affiliate links, and purchasing through them will help support not only the authors of these books, but also LearnDataSci. Thank you for reading, and thank you in advance for helping support this website. Comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Learning and Intelligent Optimization LION is the combination of learning from data and optimization applied to solve complex and dynamic problems.
Outpatients who fail to attend their appointments have a negative impact on the healthcare outcome. Thus, healthcare organizations facing new opportunities, one of them is to improve the quality of healthcare Citation: Journal of Big Data 7 Content type: Research. Published on: 9 December
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Saidulu Published Computer Science. Today, as we are observing, massive sized and complex structured data is becoming available from variety of diverse sources, organizations are making attempt to utilize these plentiful resources for the purpose of enhance innovation, increase decisional and operational efficiency. Machine learning is a kind of artificial intelligence method to discover knowledge for making intelligent decisions. Big Data has vast impacts on scientific discoveries and value creation. Save to Library.
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree a hierarchical approach , random forest an ensemble hierarchical approach , and deep learning a layered approach are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs Matlab and R presented in this book have been simplified, hardcoded, repeated, or spaced for improvements.