WHAT IS THE MACHINE LEARNING?
Have you ever shopped online? So while checking for a product, did you noticed when it recommends a product similar to what you are looking for? How are doing this recommendation? This is machine learning.
Did you get a call from any bank or finance company, asking you to take a loan or insurance policy?
Did you get a call from any bank or finance company, asking you to take a loan or insurance policy?
What do you think, do they call everyone? No, they call a few selected customer. How do they select? This is target marketing and using clustering techniques. This is machine learning.
TYPES OF MACHINE LEARNING
1. Supervised Learning
2. Unsupervised Learning
SUPERVISED LEARNING
It is defined by using labelled datasets to train algorithms that classify data or predict outcomes accurately. As input data is fed into the model, it adjusts its weights until the model has been fitted appropriately. Supervised learning is often described as task-oriented because it is highly focused on a singular task.
Application Area
Spam classification
Targeted advertisement
Face Detection
Text Categorization
Popular Algorithm
Neural Networks
Naive Bayes
Linear Regression
UNSUPERVISED LEARNING
Unsupervised learning is the opposite of supervised learning. It features no labels. Instead of feeding more data, it understands the properties of data. It can group, cluster or organize the data in such a way that humans can understand or make sense of newly organized data. In this world overwhelming majority of data are unlabeled. Using unsupervised learning algorithms we make a sense of it's is a huge source of profit for many industries.
Application Area
Recommendation systems
Market Basket Analysis
Fraud Detection
Popular Algorithm
K-means Clustering
Principal Component Analysis (PCA)
Apriori Algorithm
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