Workshop on Mathematics in Machine Learning with Scikit

Published Date: 2021-08-01, Sunday


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

Category: Events
Last Updated Date: 2021-08-01,Sunday
Published By: School of Science