JNTUA


AICTE Sponsored One Week
 Online Short Term Training Programme (STTP)
on

AICTE
Data Analytics and Machine Learning
Using R and Python - Phase-II

03 ~ 08 August, 2020

Organised by Department of CSE, JNTUACEA, Ananthapuramu.

About STTP
JNTUA

AICTE Sponsored One Week
 Online Short Term Training Programme (STTP)
on
AICTE

Data Analytics and Machine Learning Using R and Python

03 ~ 08 August, 2020
Organised by Department of CSE, JNTUACEA, Ananthapuramu.
About STTP

About The STTP

Data Analytics is the process of examining data sets in order to draw conclusions about the information they contain,with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more informed business decisions and by scientists and researches to verify or disprove scientific models,theories and hypothesis.Machine learning is a method of data analytics.It is a branch of artificial intelligence that investigates how computers can learn from data to recognize complex patterns and make intelligent decisions with minimal human intervention.ML is a fast-growing discipline and in recent years,it has gained a lot of importance and wide acceptance.This programme is intended to introduce the algorithmic approaches in data analytics and machine learning, and to discuss the recent research directions in these areas.

Aim of this STTP is to improve upgrdation of knowledge and skills for students /research scholars /faculties /scientists involved in active research in the area of data analaytics,machine learning and related technologies.

Objectives

  • To improve quality and equity in engineering teachers in order to up-grade the knowledge, enhancing research and teaching skills.
  • This STTP will help the participants to develop a basic understanding of the principles of data analytics and machine learning and derive practical solutions using predictive analytics.
  • This STTP will cover recent trends and advancement of data analytics and machine learning concepts and tools,and practice the same using R and python.
  • To ensure that the faculty members are trained in the niche area of data science,various issues in data analytics,machine learning techniques and its use in analytics.

Outcomes

After successful completion of this programme the participants shall be able to:

  • Understand how ML concepts are related to statistics and analytics.
  • Understand how machine learning uses computeralgorithms to search for patterns in data.
  • Learn how to use data patterns to make decisions and predictions with real world examples.
  • Identify the recent advancements in data analytics and machine learning.
  • Apply data analytics and machine learning tools and concepts for research and developement.
  • Learn the various aspects of data handling and how information can be extracted from data.

STTP Speakers

Prof. Srinivas Kumar

Vice-Chancellor, JNTUA

Dr. Debasis Samanta

Associate Professor, IIT Kharagpur

Dr. E. Keshava Reddy

Professor of Mathematics, JNTUACEA

Prof. V Chandrasekaran

Honorary Professor, SSSIHL, Prasanthi Nilayam

Prof. C. Shoba Bindu

Professor & Director SDC&IC, JNTUA

Speaker 3

Dr. T. Sree Ganesh

Scientist, University of Heidelberg, Germany & Postdoc at SADiLaR, North-West University, SA.

Speaker 3

Dr. Raghavendra Kune

Scientist ‘SF’, ISRO

Dr. Chandrajit Pal

AI Research Engineer, Redpine Signals Inc., Hyderabad

Speaker 2

Dr. V. Anantha Natarajan

Associate Professor, SVNE, Tirupati

Speaker 2

Dr. T. Hitendra Sarma

Principal, SRIT, Anantapur

Speaker 2

Dr. Salman Abdul Moiz

Professor, University of Hyderabad

Speaker 2

Dr. K. Dhanasree

Professor, Vardhaman College of Engineering

STTP Schedule

Inauguration & Welcome Address.

Tea Break.

T. Sree Ganesh

Digital Image Processing: Basics to Advances

Prof. S. Srinivas Kumar, Vice-Chancellor, JNTUA.

Lunch Break.

S. Srinivas Kumar

Introduction to Data Science

Dr. C. Shoba Bindu

Tea Break.

S. Srinivas Kumar

Applications of Linear Algebra in Machine Learning

Dr E Keshava Reddy

E. Keshava Reddy

Data Analytics using R

Dr. T. Sree Ganesh

Tea Break.

E. Keshava Reddy

Data Wrangling

Dr. Salman Abdul Moiz

Lunch Break.

T. Sree Ganesh

Exploratory Data Analysis

Dr. Salman Abdul Moiz

Tea Break.

T. Sree Ganesh

Data Analytics using Python

Dr. T. Sree Ganesh

V. Anantha Natarajan

Role of Big Data in Healthcare

Prof. V Chandrasekaran

Tea Break.

V. Anantha Natarajan

Pattern Recognition Principles & Approaches

Prof. V Chandrasekaran

Lunch Break.

Chandrajit Pal

Bayes, Decision Trees

Dr. T. Hitendra Sarma

Tea Break.

Hitendra Sarma

KNN, K-means, Kernel K-Means and it’s improvements

Dr. T. Hitendra Sarma

V. Anantha Natarajan

Object Detection using Faster RCNN

Dr. V. Anantha Natarajan

Tea Break.

V. Anantha Natarajan

Hands on Session

Dr. V. Anantha Natarajan

Lunch Break.

Chandrajit Pal

Sequential Models

Dr. Chandrajit Pal

Tea Break.

Hitendra Sarma

Identifying Suitable Model to fit the given use case and Modeling the Business case : Property_Value_prediction

Dr. K. Dhana Sree Devi

Hitendra Sarma

Statistical Learning

Debasis Samanta, IITK

Tea Break.

V. Anantha Natarajan

Regression and correlation analysis

Debasis Samanta, IITK

Lunch Break.

Chandrajit Pal

Reinforcement Learning

Dr. Chandrajit Pal

Tea Break.

T. Sree Ganesh

Use case: Text mining

Dr. K. Dhana Sree Devi

Chandrajit Pal

Probabilistic classification

Debasis Samanta, IITK

Tea Break.

Chandrajit Pal

Geospatial Deep Learning using Python

Dr. Raghavendra Kune

Lunch Break.

T. Sree Ganesh

Hands-on Training of CNN models

Dr. Chandrajit Pal

Tea Break.

T. Sree Ganesh

Assessment Test & Valedictory.

Dr. C. Shoba Bindu

STTP Venue


Virtual Conferencing Tool (Google Meet)

Contact Us

Coordinator

Prof C. Shoba Bindu
Professor, Department of CSE, JNTUACEA


Phone Number

+91 81432 89089