Deep Learning and Machine Learning Concepts

Flashcards covering fundamental concepts of deep learning and machine learning as discussed in the lecture.

Machine learning is a field of study that gives computers the ability to learn without being explicitly __.

programmed

A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience __.

E

Supervised learning is when the program is 'trained' on a predefined set of __ examples.

training

In unsupervised learning, the program is given a bunch of data with no __ and must find patterns.

labels

Supervised learning - Regression Task: House Price __ problem.

Prediction

The goal of supervised learning regression is to predict the __ of a house based on its size.

price

In supervised learning - classification, we classify if there is cancer or not based on the __ size and the outcome.

tumor

The mathematical representation for simple linear regression is y = m * x + __.

c

The objective of linear regression is to minimize the __ Error (MSE).

Mean Squared

In the dataset of predicting house prices, square footage is considered the __.

feature

The regression output is a __ value while the classification output is a discrete value.

continuous

To find the line that best fits the data in a regression problem, we choose the line that touches the majority of the __.

existing data

The predicted price of a house with 750 square feet can be calculated using a __ fitting method.

line

In supervised learning, provide input and output (right answers) to an algorithm (model) to __.

learn

Learning algorithms allow software applications to improve themselves without being explicitly __.

programmed

In a supervised learning problem, the training samples are used to create a __ model.

hypothesis

The loss function used to minimize the difference between predicted and actual values is called the __ function.

cost