Machine Learning

May 9, 2021, 9:39 p.m.

Machine Learning is a subset of Artificial Intelligence (AI) which provides machines the ability to learn automatically & improve from experience without being explicitly programmed.

Netflix recommendation are made by machine learning.

Need for machine Learning:
1) Increase in Data Generation
Because of excessive production of data we need a method that can be used to structure analyze and draw useful insight from data.

2) It improves decision making
By using various algorithm machine can be used to make better business decision for ex. to forecast sales it is used to predict any downfall in the stock market.

3) It uncover patterns & trends in data
Finding hidden patterns and extracting key insights from data is the most essential part of machine learning.

Machine Learining Process:

 The machine learning process involves building a predictive model than can be used find a solution for a Problem Statement.

1) Define Objective: To predict the posibility of rain by studyiing the weather conditions.

2) Data Gathering: Data such as weather conditions, humidity level, temperature, pressure etc are either collected manually or web scrapped.

3) Preparing Data: Data cleaning involves getting rid of incosistencies in data such as missing values or redundant variable.

4) Data Exploration: Data exploration involve understanding the patterns and trends in the data. At this stage all the usedul insights arre drawn and correlations between the variables are understood.

5) Building a Machine Learning Model: Predictive Model s built by using Machine Learning Algorithms such a Linear Regression, Decision Trees etc.

6) Model Evaluation & Optimization: The efficiency of the model is evaluated and any further improvement in the model are implemented.

7) Predictions: The final outcome is predicted after performing parameter tuning and improving accuracy of the model.