Author Pages
Books
Getting Started with Greenplum for Big Data Analytics
2013
Packt Publication
A hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum
Organizations are leveraging the use of data and analytics to gain a competitive advantage over their opposition. Therefore, organizations are quickly becoming more and more data driven. ...
Practical Machine Learning
1st Edition
2016
Packt Publications
Tackle the real-world complexities of modern machine learning with innovative and cuttinh edge techniques
Finding meaning in increasingly larger and more complex datasets is a growing demand of the modern world. This book explores an extensive range of machine learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples.
Learn Computer Vision using OpenCV
2019
Apress / Springer
With Deep Learning CNNs and RNNs
Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples.
The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python...
Practical Machine Learning
2nd Edition
2018
Packt Publishers
Experimental algorithms and techniques for machine learning and artificial intelligence
Explore cutting-edge advances in machine learning, with worked examples and guidance on deep learning―TensorFlow and Keras-providing you with practical demonstrations and samples that help take the theory―and―mystery out of even the most advanced machine learning methodologies
The Enterprise Data Strategy
2022
Kindle Direct Publishing
A practical, hands-on guide to architecting, implementing and operationalizing enterprise-scale data solutions
Building and maintaining a robust Enterprise Data Strategy is fundamental to any Enterprise aiming at using its data to provide insights and direction. Data was once just an outcome of business activity or process and had no value after completing the process...