Machine Learning introduction

 

 Machine Learning vs. Traditional Programming:

                                                                                                          

                

What is Machine Learning?

 Machine Learning is the art of programming computers so they can learn from data.

(or)                   

 " A computer program is said to learn from experience 'E' with respect to some task 'T' and performance measure 'P' , if its performance at tasks in T, as measured by P, improves with experience E.                                                

Traditional Program  approach:

 In this approach we need to write code for each and every problem. 

Machine Learning approach:

In Machine learning approach we maintain large amount of data. This data will be provided to algorithm. The algorithm itself predicts patterns and insights. Best algorithm gives you better accuracy, the only thing you need to choose effective algorithm.

Features of Machine Learn:

• Powerful Processing
• Better decision making & prediction
• Accurate
• Analyze complex Big data
• Time saving, etc..

Applications of Machine Learning:

Here the some applications of Machine Learning.

Image Processing:

• Image tagging and Recognition
• Self driving cars
• Optical Character Recognition (OCR)

Robotics:

• Human simulation
• Industrial robotics

Data Mining:

• Anomaly detection
• Grouping and Predictions
• Association rules

Text Analysis:

• Sentiment Analysis
• Spam filtering
• Information Extraction

Healthcare:

• Healthcare startups
• Cancer detection

Video games