In previous blogposts, we saw how supervised and unsupervised learnings have their own types and how they are different from one another. To understand the difference, we had taken a small and simple example and also identified if and how certain model types could be used interchangeably in specific scenarios….
Tag: AIBasics
Decoding AI Deception: Poisoning Attack
Hi! Welcome to my series of blogposts, “Decoding AI Deception” wherein we will take a closer look into each kind of adversarial AI attack. This post covers the details of poisoning attack comprising common types of poisoning attacks, their applicable cases, vulnerabilitiesof models that are exploited by these attacks, and…
Understanding different Unsupervised learning models using a single example
As a part of previous blogpost and in continuation with similar lines, this blogpost will try to clarify the difference and purpose of each kind of Unsupervised learning model using a common example across all these models. Apart from defining each model type, this post will highlight if any models…
Understanding different Supervised learning models using a single example
Often we get confused between different types of Supervised learning models available. This is majorly due to lack of understanding of the goal and applicability of each kind of model. In this blogpost, I will try to clarify the difference and purpose of each kind of Supervised learning model using…
Comparative Assessment of Critical AI Models
This blog post is a one stop platform for summary of different AI models that are in predominant use. The comparative assessment of these models is based on various parameters such as – Definition, Process, Main Learning Approach, Pros, Cons, and Applications. The idea is to summarize these models and…