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Day 1
(17-09-2019) |
Day 2
(18-09-2019) |
Day 3
(19-09-2019) |
Day 4
(20-09-2019) |
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9:00AM - 9:30AM |
v Inauguration by Director ICGEB v Workshop overview by coordinator DBT
Apex-BTIC |
v Data
retrieval and pre-processing, Descriptor generation v Training and testing set, Predictive classification
model generation |
v AI, ML, DL: Under the hood of
Biotech |
v Individual projects v Helping participants to complete assignments |
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9:30AM - 10:00AM |
v Application of machine learning, Data
preparation and visualization v Classification & regression v Neural networks and Gaussian process
regression |
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10:00AM - 10:45AM |
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10:45AM – 11:00AM |
TEA BREAK (10:45am - 11:00am) |
TEA BREAK (10:45am - 11:00am) |
TEA BREAK (10:45am - 11:00am) |
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11:00AM - 11:15AM |
TEA BREAK(11:00am - 11:15am) |
v Model evaluation: Cross validation
& Statistical evaluation |
v Deep Learning Studio for deep
learning/AI based model building v
Implementation
of AI techniques to solve image classification problem v
Assignments of projects to participants |
(Future directions to solve AI
problems) & (GPUs usage for running Deep learning
scripts) |
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11:15AM
- 11:30AM |
v Linux Introduction |
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11:30AM - 12:00PM |
v Basics
of Python scripting: Variables,
Arrays, Loops, Operators,
Conditional statements, Functions,
File handling, etc. |
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12:00PM - 12:30PM |
v Introduction to AI/ Deep learning &
their libraries (Dr. Dinesh Gupta, ICGEB, New Delhi) v Hands-on demo on (Ms. Anamika, ICGEB, New Delhi) |
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12:30PM - 01:00PM |
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LUNCH BREAK (01:00PM – 02:00PM) |
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02:00PM - 02:30PM |
v Advanced
Python: Python Libraries such as Numpy, Pandas, Matplotlib, Scikit-learn, etc. |
Using
Google Collab v Overview of classification v Data loading for classification (MNIST
digit classification dataset) |
v IBM: An introduction to deep learning and
role of IBM software in problem solving |
v NVIDIA (GPUs usage for running Deep learning
scripts) |
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02:30PM - 03:00PM |
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03:00PM - 03:30PM |
v Hands-on session of machine learning
and scikit-learn |
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TEA BREAK (03:30-03:45) |
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03:45PM - 04:30PM |
v Hands-on session of regression and
classification techniques using scikit-learn |
v A traditional machine learning-based
classification (RDF) in Python, Followed by classification using a
deep-learning method in Keras |
v IBM: An introduction to deep learning and
role of IBM software in problem solving |
v Expert lectures & end of the
workshop Ø (Dr.Debasisa Mohanty,
NII, New Delhi) |
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04:30PM - 05:00PM |
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05:00PM - 05:45PM |
v Expert lectures |
v Expert lectures (Dr.
Binay Panda, Ganit Labs ) |
v Expert lectures |
v Valedictory session |
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05:45PM - 06:00PM |
v End of the session and briefing for the
next day |
v End of the session and briefing for the
next day |
v End of the session and briefing for the
next day |
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