What is the difference between supervised learning and unsupervised learning? [closed]

Answer 1

Supervised Machine Learning

"The process of an algorithm learning from training dataset and predict the output. "

Accuracy of predicted output directly proportional to the training data (length)

Supervised learning is where you have input variables (x) (training dataset) and an output variable (Y) (testing dataset) and you use an algorithm to learn the mapping function from the input to the output.

Y = f(X)

Major types:

• Classification (discrete y-axis)
• Predictive (continuous y-axis)

Algorithms:

• Classification Algorithms:

  Neural Networks  
  Naïve Bayes classifiers  
  Fisher linear discriminant  
  KNN 
  Decision Tree 
  Super Vector Machines
  

• Predictive Algorithms:

  Nearest  neighbor  
  Linear Regression,Multi Regression 
  

Application areas:

1. Classifying emails as spam
2. Classifying whether patient has disease or not

3. Voice Recognition

4. Predict the HR select particular candidate or not

5. Predict the stock market price