Paper note - [Week 1] BEV-MODNet: Monocular Camera based Bird’s Eye View Moving Object Detection for Autonomous Driving [2021 IEEE Intelligent Transportation Systems Conference (ITSC)] Motivation...

[XAI 3] - Data-Centric Approaches In the previous part, we discussed various model explainability methods. Most of the methods discussed in Model Explainability Methods, are model-centric. The con...

[XAI 2] - Model Explainability Methods I. Types of model explainability methods There are different approaches that you can use to provide model explainability. Certain techniques are specific to...

[XAI 1] - Foundational Concepts of Explainability Techniques As more and more organizations have started to adopt Artificial Intelligence (AI) and Machine Learning (ML) for their critical business...

Applied Computational Thinking Problems 1. Problem 1 – Using Python to analyze historical speeches History is quite fascinating, and there are many reasons why we would look at writing algorithms...

Using Computational Thinking in Simple Challenges I. Defining the problem We are going to dive into our first scenario. You are launching a campaign for a product you’ve designed. You’re looking ...

Identifying Challenges within Solutions To learn about debugging, let’s remind ourselves that the computational thinking process is not linear. Even when we are working from the original problem, ...

Designing Solutions and Solution Processes I. Designing Solutions When we are designing solutions, we often use a design thinking model , even if we don’t always realize it. Design thinking is d...

Exploring Problem Analysis I. Understanding the problem definitions Computational thinking uses four elements in order to solve problems: Problem decomposition : This is the process of break...

Logical Reasoning I. Understanding the importance of logical reasoning As we write algorithms, we’ll need to use logical reasoning to create these algorithms. In simple terms, logical reasoning...