JNTUA


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

AICTE
Data Analytics and Machine Learning
Using R and Python

As per the instructions from Honorable Vice Chancellor, JNTUA "AICTE Sponsered STTP" is Postponed due to COVID-19. The updated schedule will be notified later.

Organised by Department of CSE, JNTUACEA, Ananthapuramu.

About STTP BrochureRegistration Form

JNTUA

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

Data Analytics and Machine Learning Using R and Python

As per the instructions from Honorable Vice Chancellor, JNTUA "AICTE Sponsered STTP" is Postponed due to COVID-19. The updated schedule will be notified later.
Organised by Department of CSE, JNTUACEA, Ananthapuramu.
About STTP BrochureRegistration Form

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.

Click here to download brochure

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

Dr. Chandrajit Pal

AI Research Engineer, Redpine Signals Inc., Hyderabad

Speaker 1

Dr. Viswanath Pulabaigari

Associate Professor, IIIT Sri City, Chittoor

Speaker 3

Dr. T. Sree Ganesh

Scientist, University of Heidelberg, Germany

Speaker 2

Prof. V. Chandrasekaran

Honorary Professor,SSSIHL,Prasanthi Nilayam

Speaker 2

Dr. T. Hitendra Sarma

Principal, SRIT, Anantapur

STTP Schedule

Inauguration & Welcome Address

Tea Break.

Srinivas Kumar

Digital Image Processing: Basics to Advances.

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

Lunch Break.

Hitendra Sarma

Introduction to Data Science, Open Source Tools for Data Science, Data Science Methodology.

Dr. T. Hitendra Sarma, Principal, SRIT, Anantapur.

Tea Break.

Hitendra Sarma

Introduction to Hyperspectral Image Analysis, Exploring Machine Learning Methods for Dimensionality Reduction and Classification.

Dr. T. Hitendra Sarma, Principal, SRIT, Anantapur.

Srinivas Kumar

Role of Big Data in Healthcare

Prof. V. Chandrasekaran, Honorary Professor, SSSIHL, Prasanti Nilayam

Tea Break.

Srinivas Kumar

Pattern Recognition Principles & Approaches

Prof. V. Chandrasekaran, Honorary Professor, SSSIHL, Prasanti Nilayam

Lunch Break.

Hitendra Sarma

Artificial Neural Networks – Popular Architectures

Prof. V. Chandrasekaran, Honorary Professor, SSSIHL, Prasanti Nilayam

Tea Break.

Hitendra Sarma

Understanding Computer Vision

Prof. V. Chandrasekaran, Honorary Professor, SSSIHL, Prasanti Nilayam

Srinivas Kumar

Exploring types of Machine Learning, Data Analytics using R & Introduction to R basics

Dr. T. Sree Ganesh, Scientist, University of Heidelberg, Germany

Tea Break.

Srinivas Kumar

Data Analytics using Python working with datasets and data preprocessing

Dr. T. Sree Ganesh, Scientist, University of Heidelberg, Germany

Lunch Break.

Hitendra Sarma

Case Study on Literary Analysis of Classics

Dr. T. Sree Ganesh, Scientist, University of Heidelberg, Germany

Tea Break.

Hitendra Sarma

Advances in Pattern Recognition

Prof. B. Eswara Reddy, Director SDC, JNTUA

Srinivas Kumar

Learning representations - Word Embeddings

Dr. P. Viswanath, Associate Professor, IIIT Sri City, Chittoor

Tea Break.

Srinivas Kumar

Joint representations for images and text

Dr. P. Viswanath, Associate Professor, IIIT Sri City, Chittoor

Lunch Break.

Hitendra Sarma

Introduction to SPSS and its Applications

Dr E Keshava Reddy, Professor, Mathematics, JNTUACEA

Tea Break.

Hitendra Sarma

Data Analysis Techniques in SPSS

Dr E Keshava Reddy, Professor, Mathematics, JNTUACEA

Srinivas Kumar

Introduction to Deep Learning

Dr. Chandrajit Pal, AI Research Engineer, Redpine Signals Inc., Hyderabad

Tea Break.

Srinivas Kumar

Multilayer Perceptron + Hands on Session

Dr. Chandrajit Pal, AI Research Engineer, Redpine Signals Inc., Hyderabad

Lunch Break.

Hitendra Sarma

Shallow and Deep Neural Network

Dr. Chandrajit Pal, AI Research Engineer, Redpine Signals Inc., Hyderabad

Tea Break.

Hitendra Sarma

Hands on Session

Dr. Chandrajit Pal, AI Research Engineer, Redpine Signals Inc., Hyderabad

Srinivas Kumar

Introduction to Sequential Models

Dr. Chandrajit Pal, AI Research Engineer, Redpine Signals Inc., Hyderabad

Tea Break.

Srinivas Kumar

Reinforcement Learning

Dr. Chandrajit Pal, AI Research Engineer, Redpine Signals Inc., Hyderabad

Lunch Break.

Hitendra Sarma

Hands on Session on Advanced Networks

Dr. Chandrajit Pal, AI Research Engineer, Redpine Signals Inc., Hyderabad

Tea Break.

Assessment Test, Valedictory & Distribution of Certificates.

STTP Venue

Chemical Engg Department, Seminar Hall
JNTUA College of Engineering (AUTONOMOUS)

F.A.Q

Contact Us

Coordinators

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


Dr. K. Madhavi, Co-Coordinator
Associate Professor, Department of CSE, JNTUACEA

Phone Number

Coordinator
+91 81432 89089

Co-Coordinator
+91 94402 06501