Two days workshop on Machine Learning will be conducted by Lema Labs (Incubated at IIT Madras Incubation Cell) at IIT Madras Research Park on 22nd to 23rd Sep 2018.
Highlights of the workshop:
- Fundamentals of ML
- Data Processing
- Linear Regression
- Gradient Descent Algorithm
- Hyperparameters Grid Search
- Logistics Regression
- Python Programming
Project: Hand Writing Digit Recognition
Workshop Content is deisgned in association with HyperVerge ( http://hyperverge.co
Fundamentals of ML
Types of Machine Learning
Linear Regression Problem
Python Programming basics
Coding Platform: Jupiter Notebook
Gradient Descent Algorithm
Logistic Regression Model
Introduction to python: Scipy and Scikit
Handwriting Digit Recognition
Convert Images to raw data
Raw data to CSV
Accuracy Prediction and Optimization
Fee for the program is Rs.4500/- (inclusive of all taxes) per participant.
Program price includes
2 Days of Training
Service tax and VAT
Register as a group of 6 or more and get Rs.200/- off per person on registrations.
Students will be certified by Lema Labs Technologies Pvt Ltd and IIT Madras Alumni Association.
To register: www.lemalabs.com/register
Lema Labs (Incubated at IIT Madras Incubation Cell) is a company founded by IIT Alumni under the guidance of faculty members of IIT Madras.We are striving to build an ecosystem for emerging technologies by providing support to stakeholders which include student community, educational institutions and the industry.
Hyperverge is a Silicon Valley based deep-learning startup funded by NEA, Milliways Ventures and Naya Ventures. HyperVerge has developed patent-pending technology for real-time analysis of images and videos obtained from sources such as satellites, surveillance cameras, industrial cameras, and documents. Their models lead the market with top accuracy values on many important data-sets and are optimized for deployments in real-world low bandwidth environments. Deep-learning networks built by HyperVerge are powering applications for large enterprise clients in Security, Energy, Financial Services and Defense.