This document provides an overview of machine learning, a subset of artificial intelligence that enhances prediction accuracy through algorithms and data. It outlines three main types of algorithms: supervised, unsupervised, and reinforcement learning, as well as common applications and notable algorithms. Additionally, it mentions educational courses offered by Eduonix for beginners and project-based learning in machine learning.

2. Machine Learning
● Machine Learning is a type of Artificial
Intelligence that allows computer
application become more accurate in
predicting outcome without being
explicitly performed i.e automcatically.
● It uses algorithm that pick-up data to
build predictive models that choose
where to look insight.
● Machine learning relies on Data; the
more the data, more effective machine
learning is.

3. Machine Learning Algorithms
Broadly, there are 3 types of Machine
Leaning Algorithm:
● Supervised Learning
● Unsupervised Learning
● Reinforcement Learning

4. Simple Machine Learning Logic
Traditional Programming
Machine Learning
Computer
Output
Data
Program
Computer
Output
Program
Data

5. Machine Learning Algorithms Contd..

6. List of Common Machine Learning Algorithms
● Linear Regression
● Logistic Regression
● Decision Tree
● Support Vector Machine (SVM)
● Naive Bayes
● K – Nearest Neighbour
● K – Means
● Random Forest
● Dimonsionality Reduction Algorithm
● Gradient Boosting Algorithm
Here is the list of commonly used machine learning algorithms. These algorithms
can be applied to almost any data problem

7. Application of Machine Learning
● Advertising & Business
Intelligence
● Facial Recognition
● Optical Character Recognition
● Product Recommendation
Engines
● Autonomous Vehicles
● Surveillance System
● Filtering Algorithms
● Online Fraud Detection
● Email Spam and Malware Filtering
● Network Intrusion Detection
● Prediction of Equipment Failures

8. Relation of Machine Learning
The following pictures makes it clear understanding about relation of Machine Learning,
Artificial Intelligence, Knowledge Discovery, Data Mining, Database etc

9. Relation of Machine Learning with Deep Learning
In practical terms, deep learning is just a subset of machine learning. It
technically is machine learning and functions in a similar way, but its capabilities
are different.

10. Famous Companies Using Machine Learning

11. Learn Machine Learning with Eduonix
Eduonix brings two popular Machine Learning Courses:
1.Machine Learning for Absolute Beginners
 A complete guide to master machine learning concepts and create real
world ML solutions
2.Learn Machine Learning by Building Projects
 Learn to build real world machine learning solutions across different
verticlals. Master professional machine learning by building projects.

12. Eduonix Introduces
Machine Learning for Abolsute Beginners @ $15
To Get this Course at $15 Use Coupon Code : DISCOUNT15
● Lectures: 30
● Video: 6.5 hours
● Language: English
● Includes: 30 day money back
guarantee!
Certificate of
Completion.
Lifetime Access.
Reference Link : https://goo.gl/D3XhBu

13. Table of Contents
● SECTION 1 : Introduction to Machine Learning
● SECTION 2 : Supervised Learning – Part 1
● SECTION 3 : unsupervised Learning
● SECTION 4 : Neural Networks
● SECTION 5 : Real World Machine Learning
● SECTION 6 : Final Project

14. Eduonix Introduces
Learn Machine Learning by Building Projects @ $15
To Get this Course at $15 Use Coupon Code : DISCOUNT15
● Lectures: 48
● Video: 13.5 hours
● Language: English
● Includes: 30 day money back
guarantee!
Certificate of
Completion.
Lifetime Access.
Reference Link : https://goo.gl/4hGZky

15. Table of Contents
● SECTION 1 : Stock Market Clustering
● SECTION 2 : Breast Cancer Detection
● SECTION 3 : Board Game Review Prediction
● SECTION 4 : Credit Card Fraud Detection
● SECTION 5 : Diabetes Onset Detection
● SECTION 6 : DNA Classification – The Dataset

16. Table of Contents Contd..
● SECTION 7 : Intro to Natural Language Processing
● SECTION 8 : Object Recognition
● SECTION 9 : Image Super Resolution
● SECTION 10 : Text Classification
● SECTION 11 : KMeans
● SECTION 12 : PCA

17. Connect with us on Social Platform
Thank You!!!