100 days of machine learning

100 days of machine learning

A comprehensive article guide for ML beginner's

Machine learning is one of the most trending technologies in today world and from today onwards i will start my journey towards machine learning .I will try to compute my journey in the form of articles.

before introduce to all you about the machine learning lets discuss what is Artificial intelligence.

What is Artificial Intelligence

Artificial Intelligence commonly known as AI is a approach where we try to give intelligence or giving thinking ability like humans to the computers so they can work own and make working more efficient.

Subdomain of Artificial Intelligence

there are mainly 2 subdomain of AI

  1. Machine learning
  2. deep learning

we can easily understand the difference between AI ,ML and deep learning in the below diagram

machinelearing.jpg

MACHINE LEARNING

machine learning is the subdomain of AI commonly known as ML .ML is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

HOW ML IS DIFFERENT FROM TRADITIONAL PROGRAMMING

TRADITIONAL PROGRAMMING

In traditional programming we have a set of input and we have to write a program to get the desire output with the help of program

ML approach

ML approach is a kind of different approach from programming . In ML approach we have a input data set and output dataset we try to generate a program with the help of predefined algorithms .

Key Difference

  1. In simple terms in traditional programming we have a specific problem and we write a specific program for that but in machine learning we have input data as well as output we don't write the program we try to generate the program with help of predefined algorithms .

  2. In ML we try to find or recognize the pattern with the help of data whereas in traditional programming we try to think for a particular problem a write explicts code for the problem.