NIT Kurukshetra, formerly known as Regional Engineering College, Kurukshetra was founded in 1963. It was conferred upon the NIT status, with Deemed University on June 26, 2002. The Institute offers several courses, in various disciplines of B.Tech., M.Tech., MBA, MCA and Ph.D. with an annual intake of about 1500 students. Institute also provides excellent facilities for advanced research in the emerging areas of Engineering, Science, and Technology. The institute has well qualified and dedicated faculty along with supporting staff, laboratories and other infrastructure. The infrastructure is geared to enable the institute to produce technical personnel of high quality.
Description
Self-Sponsored Online One Week Hands-on Workshop on Machine Learning Techniques and Applications (MLTA-2024) (01-05 March 2024). BRIEF OVERVIEW OF THE WORKSHOP: This workshop aims to introduce the participants with Machine Learning and its several applications. The training program will begin with an introduction to machine learning and Python programming. It focuses on data exploration, feature extraction, classification, and clustering techniques. In addition, some real-world ML applications will be covered through theoretical and algorithmic approaches. After completing the training program, the participant will be able to understand and implement the various machine learning models using Python with their pros and cons.
Event Introduction
TENTATIVE COURSE CONTENTS ·
Module 1. Machine Learning Primer: Introduction to Machine Learning, Basics of Machine Learning, Types of Machine Learning. · Module 2. Python Primer: Introduction of Python syntax and programming logics.
Module 3. Descriptive Data Analysis using Python: Understanding Data, its types, Data visualization and preparation.
Module 4. Supervised Learning: Classification, Regression, Classification using Decision Tree, Linear Regression, Logistic Regression.
Module 5. Performance Metrics in ML
Module 6. Unsupervised Learning: Clustering, K-mean clustering. · Module 7. Introduction in Ensembles: Bagging, Boosting, Stacking etc.
Module 8. Machine Learning Applications.
Topics to be Covered
This programme will cover the following topics:
One Week Hands-on Workshop on Machine Learning Techniques and Applications (MLTA-2024) (01-05 March 2024)
Who can Apply?
TARGET AUDIENCE · This workshop is targeted to participants who are interested to have an early introduction of machine learning concepts and tools. · Pre-requisites: Knowledge of computer with basic concepts of programming and algorithms.
Registration Fee
◆ Participant’s Category Registration Fee Students/ Research Scholars Rs. 250/- Faculty Rs. 500/- Industry/ R&D / Govt. Organization Rs. 1000/- * Registration fee is non-refundable.The Registration fee is to be paid through SBI Collect. Step 1: Go to SBI Collect or click on: https://www.onlinesbi.sbi/sbicollect/icollect home.htm Step 2: Select Educational Institutions. Step 3: Select State Haryana and search for DIRECTOR NIT KURUKSHETRA in search bar (in left side). Then Select DIRECTOR NIT KURUKSHETRA option at the bottom Step 4: Select Payment Category (MLTA-2024), Proceed (Fill the requested details & Submit) and collect the receipt.
How to Apply
◆ Candidate should submit an online application by clicking the Apply Online. Participants need to fill up the online application form by using the link given below with all the required details.Registration with the following Link: https://forms.gle/WNeK3gQ2W4nHLW6Q9
Important Date
- Last date for registration is 25 February 2024.
- Event date 01-05 March 2024
- Confirmation to the participants (by email): 28 February 2024
- E-Certificates will be provided to all the participants.
For Additional Information
Organizer Information 🇮🇳
Organized By Department of Computer Engineering National Institute of Technology Kurukshetra-136119, Haryana, India.
Highlights
- Five Day Short Term Training Programme Organized by National Institute of Technology Kurukshetra
- Learn About Machine Learning Techniques and Applications
- Short Term Training Programme for Interested to have an early introduction of machine learning concepts and tools
🔖 Post Expires on 25th February 2024