Machine Learning

What is Machine learning? According to Arthur Samuel.

According to Arthur Samuel:

It is a Field of study that gives machines the ability to learn without being explicitly programmed.

What is supervised learning?

Supervised learning refers to algorithms that learn x - to - y or input to output mappings.

What is the key characteristics of machine learning?

The key characteristics of supervised learning is that you give your learning algorithm examples to learn from that include the right answers. By seeing correct input x and desired output label y that the learning algorithm eventually learns to take just the input alone without the output label. With this it gives a reasonably accurate prediction ,or guess of the output.

If the checkers program had been allowed to play only ten games (Instead of tens of thousands) against itself, a much smaller number of games, how would this have affected it's performance.

Would have made it worse( In general, the more opportunities you gives learning algorithm to learn, the better it will be)

Which learning algorithm is used most in many world applications?

Supervised learning algorithm

Which learning algorithm is used most in many world applications?

Supervised learning algorithm

In supervised learning, if the input x is an email and the output is spam or not spam, what applications would this be suited for?

Spam filter

In supervised learning, if the input x is an audio file and the output is a text transcript, what applications would this be suited for?

Speech recognition

In supervised learning, if the input x is english and the output is Spanish, what applications would this be suited for?

Translator

In supervised learning, if the input x is an add, user info and the output is click or not click, what applications would this be suited for?

Online advertising

In supervised learning, if the input x is an image of a phone and the output is defects or no defects, what applications would this be suited for?

Visual inspection

What is regression in Machine learning?

This is a supervised learning technique used to predict infinite numerical values by finding the mathematical relationship between input features and target output.

What is classification algorithm?

This is a supervised learning technique where a computer program uses data to learn how to assign a category label to new, unseen information. Classification algorithms predict categories. It has finite possible values.

How does classification algorithm predict outputs with 2 or more inputs?

The algorithm decides how to fit a boundary line to the dataset.

What is unsupervised learning in machine learning?

It is an algorithm that finds patterns and unstructured in unlabeled data, commonly through clustering, dimensionality reduction, association rule learning,and anomaly detection. Data only comes with inputs and not output labels y. Algorithm has to find structure in the data.

What is association rule learning?

Groups with similar data points (e.g K-means, hierarchical clustering)

What is association rule learning?

Discovers relationships between items

What is association rule learning?

Discovers relationships between items

What is Anomaly detection?

Identifies unusual or rare patterns

What is a real world application of clustering?

Discovers relationships between items