• Articles
  • Tutorials
  • Interview Questions

Machine Learning(ML) Introduction - A Step-by-Step Guide

Introduction to Machine Learning

Machine learning is a subset of AI that enables the ability of machines to perform at ease, where they can learn and develop from the past without being constantly trained. It is mainly used to develop computer programs that get data by themselves and use it for learning purposes. There are two types of machine learning

  • Supervised learning
  • Unsupervised learning
Supervised learning Unsupervised learning
We already have a subset or column to define that target. In unsupervised learning we don’t have a target.
Classes- Regression, Classification Classes – Clustering, Dimensionality reduction.
We train the dataset according to the target variable to predict it. Training is based on previous learning, not any target variable.
Grouping and clustering is done according to the target to be achieved. We perform grouping and clustering in this unsupervised learning.
Used in image, speech recognition and forecasting. Used to pre-process the data, pre-train supervised learning algorithms.
Eg. For predicting salary. We predict it based on age, expenditure, experience also based on other salary dataset. Eg. Performing a behavior analysis as an experiment to predict them.

Get certified from top Machine Learning Course Now!

Watch Machine Learning Full Course Tutorial

If you have any doubts or queries related to Data Science, do post on Machine Learning Community.

Course Schedule

Name Date Details
Machine Learning 29 Jun 2024(Sat-Sun) Weekend Batch
View Details
Machine Learning 06 Jul 2024(Sat-Sun) Weekend Batch
View Details
Machine Learning 13 Jul 2024(Sat-Sun) Weekend Batch
View Details
Machine Learning 20 Jul 2024(Sat-Sun) Weekend Batch
View Details

About the Author

Senior Research Analyst

As a Senior Research Analyst, Arya Karn brings expertise in crafting compelling technical content in Data Science and Machine Learning. With extensive knowledge in AI/ML, NLP, DBMS, and Generative AI, his works get lakhs of views across social platforms that benefit both technical and business spheres.