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<p>Contents:-<span style="white-space:pre"> </span>1.Big data and Data Science 2.Hadoop and its Ecosystem 3.Various Big data and Hadoop Umbrella Systems 4.Introduction to Big data Analytics 5.Statistical Descriptive data analysis 6. Introduction to R programming language and Software Environment 7.Diagnostic or inferential Analytics 8.Predictive Modelling and Linear Regression 9.Time Series Analysis and Forecasting 10.Prescriptive Analytics 11.Data Repositories and Mining 12.Text Analysis 13. Machine Learning 14. Supervised Learning (Regression/Classification) 15. Unsupervised Learning 16. Big Data Privacy, Security and Ethics. </p><p>What's special / Useful in this book: - This book will help you learn and gain specific knowledge on data analytics, Artificial Intelligence (AI), Internet Of Things (IOT). Mobile and social media that are driving through new forms and sources of data.</p>
