American vision

Supervised and Unsupervised learning

Nice article for Data newbies

dataaspirant

post2_final

Wiki Supervised Learning DefinitionĀ 

Ā  Ā  Ā  Ā  Supervised learning is the Data miningĀ task of inferring a function from labeled training data.The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. This requires the learning algorithm to generalize from the training data to unseen situations in a ā€œreasonableā€ way.

Wiki Unsupervised Learning Definition

In Data mining, the problem of unsupervised learningĀ  is that of trying to find hidden structure in unlabeled data. Since the examples given to the learner are unlabeled, thereā€¦

View original post 495 more words

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s