For the first week, we will learn the overview of a face recognition system, setup the developing environment and create the face photo dataset needed for the face recognition system. 1. Face Recognition System Overview The following overview shows the workflow for a single input image. 1.1. De...
This is the first assignment for the course Introduction to Machine Learning (COMPGI21). The goal of this assignment is to learn how to visualize functions using the Python language, along with the numpy and matplotlib packages. This assignment takes the form of a Jupyter Notebook, a convenien...
as a single pdf or as part of the jupyter notebook. 1. (a) Implement (write a code) Gaussian Elimination with partial pivoting to solve a linear system Ax = b, given as output the coefficients of a nonsingular, n × n matrix A and an n-vector b. Your code should produce the sol...
2. Team work: we encourage you to form small team, up to THREE persons per group, to work on the same problem. Each team just submit ONE report, with a clear remark on each person’s contribution. The report can be in the format of either Python (Jupyter) Notebooks with a detailed ...
1. All groups need to submit a Jupyter Notebook document onto the Moodle. Within this Jupyter Notebook, you are required to provide your Python codes to demonstrate the analysis and interpret the results (see below for detailed requirements) ...
1. Rewrite this second-order ODE as two first-order ODEs (using Jupyter Markdown) (3 marks) MECH 202 Jupyter Notebook Written Report – Van der Pol 2. Set the frequency at π/8 (rad/s). Set the initial position at x=1 (arbitrary units), and velocity ...