Intro Flashcards
What is machine learning
It is a special branch of AI which consists in the design of algorithms that automatically extract valuable information from the data (without the human action)
What are the key components of an AI workflow?
Tue key components are : data preparation, AI modelling, System Design and deployement
What is the role of data in AI workflow
it’s crucial because rappresents most of AI effort, it is the first step towards the modelling
What is a model?
A model is defined as a mathematical representation or a computational structure that captures the relationship between input and output
What is an algorithm (in AI)
An algorithm is a system that makes prediction based on input data infact it is also known as the Predictor.
What are the 3 pillars in the mathematical sciences? Explain it
Function approximation, Optimization, Probability and Statistics.
FA is building a model that links input and output, we have to find the function or an approssimation of it.
Opti is finding the best model out of a class of it, it can be viewed as a process of fitting or calibrating the parameter of a function .
P&S is useful for evaluating the model that start with a random process so we calculate the uncertainty
What is data?
Data is a collection of discrete values that convey information, etc.. they are the pillar of ML
What we use to store data?
Linear algebra concepts such as PCA and SVD (Principal Component Analysis) and (Singular Value Decomposition)
What is OR (Operatin Research)?
OR is a field of study and a set of mathematical techniques used to solve complex decisions-making problems.
It does with the help of mathematical concepts and the aim are different such as :
Decision support, Mathematical modelling and decision support system DSS
What is DSS (which we use in OR)
So DSS (Decision Support System) is a computer-based system that leverages OR techniques and other analitycal tool to assist decision-makers in making informed choices
