Program information and Tentative Schedule
- Date: August 16, 2021
- Venue: Kathmandu University, Dhulikhel, Nepal
- Participants: Faculties/Graduates/Undergraduates
- Requisites: Basic knowledge of Programming, preferably Python knowledge
For Registration Click Here
Time |
Topic |
8:30-9:30 |
Basics of Machine Learning |
9:30-9:40 |
Break |
9:40-10:50 |
Mathematics in Machine Learning |
10:50-11:00 |
Break |
11:00-12:00 |
Central Machine Learning Problems |
12:00-1:00 |
Lunch Break |
1:00-3:00 |
Scikit Learn Lab |
3:00-3:45 |
Interactive Session |
3:45-4:15 |
About Study and Research Offers in India |
Basics of Machine Learning
- Simple Picture Quiz
- What is Machine Learning?
- Supervised and Unsupervised Learning
- Advantages and Disadvantages of ML
- Challenges in ML
Mathematics in Machine Learning
- Linear Algebra (Norms, Transformation)
- Affine Spaces o Matrix Decompositions (SVD)
- Probably and Distribution (Gaussian)
- Continuous Optimization (Conjugate Gradient)
Central Machine Learning Problems
- Data Models and Learning
- Graphical Models
- Model Selection
- Dimensionality Reduction
- Principal Component Analysis
- Main Steps in Machine Learning
Scikit Learn Lab
- Artificial Neural Network
- Perceptron
- What is scikit Learn
- MNIST – Handwritten Numbers
- MNIST with scikit-learn
- Faces recognition example using eigenfaces and SVMs Scikit Learn
- What is TensorFlow and Keras
- MNIST with TensorFlow in Keras