Big Data Analytics Book Released on Amazon.com Reveals State of the Art Models for Data Scientists

Book Titled Big Data Analytics Methods Delivers Tips and Algorithms for Predictive Modeling, Natural Language Processing, Machine Learning & Data Mining
 
WASHINGTON - Aug. 14, 2016 - PRLog -- A new book titled Big Data Analytics Methods is released by Amazon.com to aid data scientists with most up to date and easy to understand analytics modeling methods.   The book includes more than 100 algorithms and use cases with the goal to make Prediction, Natural Language Processing (NLP), Machine Learning, Deep Learning and Data Mining effective and practical.

"Data Analytics offers both tremendous opportunities to increase revenues and challenges to find the right insights from data", said Peter Ghavami, Ph.D., book's author, "If you can predict your customer's next purchase you're in a position to make the right pitch at the right time to that customer.  This book is a must read for any data scientist who wants to apply new analytical methods and improve their model performance", he added.

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 can't be found in any other text", he added.

The book is listed on Amazon.com at https://www.amazon.com/Big-Data-Analytics-Methods-Techniques/dp/1530414830 and also from Createspace.com at https://www.createspace.com/6121530. (https://www.createspace.com/6121530)

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.

"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 titled Clinical Intelligence is one of the best-selling analytics books in healthcare.  His recent book on Hadoop data governance titled "Big Data Governance" is adopted by many consulting firms as standard practice.  He published his first book titled "Lean, Agile and Six Sigma IT Management" in 2009 which is still widely used by IT professionals around the world.  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.ghavami@northwestu.edu.

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Tags:Predictive Modeling, Data Mining, Machine Learning
Industry:Science
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