Schedule

Date 09:30AM to 11:00AM 11:00 AM to 11:15 AM 11.15 AM to 12.45 PM 12.45 PM to 1:45 PM 1.45 PM to 3:45 PM 3.45 PM to 4:00 PM
January 27
Monday
Inauguration & Keynote Address





Tea
Linear Algebra





Lunch
Probability & Statistics For Data Science




Tea
January 28
Tuesday
Big Data Analytics Neural Network, Random Forest, Model Selection Practical Construction
January 29
Wednesday
Supervised Learning Supervised Learning Data Visualization Techniques
January 30
Thursday
Deep Learning Deep Learning Deep Learning
January 31
Friday
Unsupervised Learning Unsupervised Learning Evaluation Session Valediction