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Introduction To Machine Learning

This article introduces machine learning.

What Is Machine Learning?

Machine Learning (ML) is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed.

Steps Of Machine Learning

Here is a clear breakdown of the common steps involved in a machine learning workflow.

Collecting Data

Gather relevant data from various sources (databases, web scraping, sensors, etc.).

Data Wrangling (Preprocessing)

Clean the data (handle missing values, duplicates, outliers). Convert data into a usable format (normalization, encoding, etc.).

Analyze Data

Understand patterns, relationships, and insights using statistics and visualizations.

Train Algorithm (Model Training)

Split data into training and validation sets. Choose a suitable ML algorithm (e.g., Linear Regression, Decision Tree, Neural Network). Fit the model on the training data.

Test Algorithm

Evaluate model performance using test data and metrics like accuracy, precision, recall, etc.

Deployment

Integrate the trained model into a production environment.

Posted By -	Karan Gupta

Posted On -	Thursday, May 15, 2025

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