week one Flashcards
machine learning introduction
what is artificial intelligence?
any technique which enables computers to mimic human behavior
what is machine learning?
AI techniques that give computers the ability to learn without explicitly being programmed to do so
what is deep learning?
a subset of machine learning that makes the computation of multi-layer neural networks feasible
how machine learning works
works by feeding the data to a generic algorithm and it finds something about this set of data and it builds its own logic based on the data.
what is the difference between programming and machine learning
programming is entering the program and data to get an output while machine learning is entering the data and output to get the program(logic) to apply it to other data.
what is supervised learning in machine learning
training data includes desired outputs.
what are the types of supervised learning in machine learning
. Classification - deals with discrete data
. Regression - deals with continuous data
what classification in supervised learning deals with in terms of data
deals with discrete data
(Detecting Email: spam/not spam )
what regression in supervised learning deals with in terms of data
deals with continuous data
(Predicting stock price within 3 months)
what is unsupervised learning in machine learning
- input data without labels
- inferring function to describe hidden structure from “unlabeled” data.
what fields is unsupervised learning used in?
many fields like pattern recognition, image analysis, information retrieval, bioinformatics, and data compression.
what type of input does machine learning deal with or receive?
machine learning only receives numeric input.
how does machine learning see images?
as numbers inside of pixels
how does machine learning deal with text?
by text conversion using Embedding Techniques.
