About The Book:

Big Data analytics is the often complex process of examining big data to uncover information- that can help organizations make informed decisions. Big data analytics helps organizations harness their data and use it to identify new opportunities that, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. Machine learning, a specific subset of Artificial Intelligence that trains the machine how to learn , makes it possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster and more accurate results even on a very large scale.

Contents:

• Big data and Data Science
• Hadoop and its Ecosystem
• various Big Data and Hadoop Umbrella System
• Introduction to Big data Analytics
• Statistical Descriptive Data Analysis
• Introduction to R Programming Language and software Environment.
• Diagnostic or Inferential Analytics
• Predictive Modelling  and linear regression
• Time Series Analysis and Forecasting
• Prescriptive Analytics
• Data Repositories and Mining
• Text Analysis
• Machine Learning
• Supervised Learning (Regression/classification)
• Unsupervised Learning
• Big Data privacy, Security and Ethics