Event Date & Time: 15/09/2018 - 15/09/2018Full Details:
College: Kongu Engineering College
Department: Any Degree,B.Tech Information Technology,B.E Computer Science Engineering,B.E Mechanical,B.E Mechatronics,B.E Electrical and Electronics Engineering,B.E Aeronautical Engineering,B.E Civil,B.E Instrumentation Engineering,B.E Electronics and Communications,B.E Automobile Engineering,B.E - B.Tech,M.Tech,MBA,B.Com,B.Sc,M.Sc,BCA,MCA
State - District: Tamil Nadu - Erode
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results.
Python contain special libraries for machine learning namely scipy and numpy which works well with linear algebra and to know kernel methods of machine learning. The language is great to use when working with machine learning algorithms and has easy syntax relatively.
This course covers the basics of Python and implementation of a simple machine learning algorithm using python.
• Introduction to Python
• Data Structures
• Machine Learning algorithms in Python:
• Anaconda Library
• Classification algorithms - Decision Tree and Naïve Bayes
• Clustering Algorithms
• Data Visualization
• Case study
Students, Faculty and Research Scholars from Engineering and Science & Humanities.
Last date for receipt of applications: 12.09.2018
Intimation of selection : 12.09.2018
Confirmation by participants : 13.09.2018
BOARDING AND LODGING
Boarding and lodging will be provided to the participants in the college campus on chargeable basis.
Registration fee : 500/-(inclusive of 18% tax).
DD to be drawn in favor of "IIPC Cell Grant in Aid A/C" Payable at Perundurai (or) Erode HOW TO APPLY The applicants should send their applications in the specified format to reach us on or before 10.09.2018. If selected, they should confirm their participation as per schedule below.
The applicants should send their applications in the specified format through their Principals / Sponsors to reach us on or before 12.09.2018. If selected, they should confirm their participation in time.
9443840665, 9659447988 ,9788343588