Author Reveals the 8 Laws of Big Data Analytics for Business in New Book

Amazon.com has adopted a new book titled Big Data Analytics Methods authored by Peter Ghavami, Ph.D. that informs data scientists with most up to date and easy to understand analytics modeling methods. The book introduces the 8 laws of big data analytics and explains more than 100 algorithms that are important to business analytics. The book presents use-cases and analytical methods for Prediction, Natural Language Processing (NLP), Machine Learning, Deep Learning and Data Mining.

"The book is easy to read with easy explanations of big data analytics techniques for business. Its a great reference for beginners and experts alike", said Peter Ghavami, Ph.D., book's author, "It starts with simple concepts and gradually adds advanced topics. This book is a must read for those aspiring to become data scientist", he added.

The book is listed on Amazon.com at https://www.amazon.com/Big-Data-Analytics-Methods-Techniques/dp/1530414830.

The book also covers many NLP applications such as customer sentiment analysis, neural networks, random forest and decision trees, regression models and ensemble of models to improve analytics accuracy.

"This book unveils methods that have been secrets of trade for some time but also adds many new, state of the art methods", said Peter Ghavami, Ph.D., "For example, the ensemble of models is a less known technique that improves accuracy of prediction. The book offers several ensemble schemas that cant be found in any other text", he added.

The book teaches data engineers and data scientists methods to develop a diverse set of data products such as customer profiling, customer segmentation, social media analysis, fraud detection, financial prediction and optimization.

The Big Data Analytics book is the result of more than 15 years of experience in data analytics by Peter Ghavami, Ph.D., a leading international consultant and author of best-selling technology books (www.linkedin.com/in/PeterGhavami).

Big Data Analytics Methods is an important book because it packs more than 100 analytics techniques and use-cases into one handbook, remarked Peter Ghavami, Ph.D., Natural Language Processing and machine learning are going to unlock insights in data while enabling new applications such as customer sentiment analysis and in-the moment decision analysis for consumers.

About the Author: Peter Ghavami, Ph.D. is a world renowned consultant and best-selling author of several IT books. He has been consultant and advisor to many Fortune 500 companies in the world for IT strategy, big data analytics, innovation and new technology development. His book on application of analytics to clinical data titled Clinical Intelligence is a best-selling book in healthcare (https://www.amazon.com/Clinical-Intelligence-Analytics-Revolution-Healthcare/dp/1500428590/). His first book titled Lean, Agile and Six Sigma IT Management is still widely used by IT professionals around the world (https://www.amazon.com/Agile-Sigma-Information-Technology-Management/dp/1440478120/). His books have been selected as text books by several universities. Dr. Ghavami has over 25 years of experience in technology development, IT leadership, data analytics, supercomputing, software engineering and innovation. He can be reached at peter.ghavaminorthwestu.edu.