Read more
Developments in Computer science and Artificial Intelligence have lead to revolutionary changes in all branches of Engineering including Manufacturing, influencing Quality Control, Predictive Maintenance to name a few. People from all branches of Sciences and Engineering want to pursue Data Science as a career. Also the people who are not directly involved and are policy makers or entrepreneurs want to know basics of Data Mining and Data science, as to what changes can be achieved by using these technologies. These technologies are making a difference in Irrigation, Health care and market analysis. People also want to know what goes behind in using these technologies, to understand how programming languages like Python and R help the data scientists. People want to know what is Machine Learning, what is the difference between Supervised Learning methods and Unsupervised learning methods. Various steps like Tracking patterns, classification, association, clustering, outlier detection, regression and prediction. This book concludes by discussing advanced applications like android app development and building management systems.
0 Reviews