Artificial Intelligence 2months
Section 1 : Review of AI Foundations Class
Unit 1: What is AI/ML
Unit 2: Real world applications of Machine Learning.
Unit 3: Review kinds of ML problems & their solutions (Supervised & Unsupervised Learning).
Unit 4: Workflow of solutions to ML problems.
Section 2: Building custom Classification Algorithm
Unit 1: Review of classification problems & algorithms.
Unit 2: Building a custom nearest neighbor algorithm.
Section 3: Building custom Regression Algorithm
Unit 1: Review of regression problems & algorithms.
Unit 2: Building a custom regression algorithm.
Section 4: Building custom Clustering Algorithm
Unit 1: Review of clustering problems & algorithms.
Unit 2: Building a custom k-means clustering algorithm.
Section 5: Object Recognition with Open CV
Unit 1: Introduction to Image Processing & Object Recognition.
Unit 2: Building an object recognition system using Open CV.
Section 6: Neural Networks with Tensorflow
Unit 1: Introduction to Neural networks.
Unit 2: Building a Neural Network using Tensorflow.
Section 7: Introduction to Some ML Tools
Unit 1: Introduction to Azure ML.
Unit 2: Introduction to Wolfram Mathematica.
Unit 2: Introduction to Google Cloud ML.
Isaac Atia-Abugbilla has a background in Electrical/Electronic Engineering and a self-taught Artificial Intelligence engineer, IoT engineer and PCB design engineer. He is an advocate of open source hardware and software and contributes to this course by making his works public through online repositories. He has worked on a number of projects in machine learning and data science which he also makes available on his online repositories.