The document discusses machine learning, including its definition, types, and how it works. Machine learning enables computers to learn automatically from past data. There are three main types of machine learning: supervised learning which trains models using labeled data, unsupervised learning which uses unlabeled data for training, and reinforcement learning which rewards desired behaviors.

1. WHAT'S IN STORE FOR US?

2. • What is Machine
Learning
• Prons and
Cons
• Types of Machine learning
• How it's
Work?

3. WHAT IS MACHINE LEARNING?
MACHINE LEARNING IS A GROWING
TECHNOLOGY WHICH ENABLES
COMPUTERS TO LEARN AUTOMATICALLY
FROM PAST DATA.

4. HERE ARE SOME
PREDICTIONS
FROM PAST
THAT'S MACHINE
LEARNING

6. SUPERVISED LEARNING IS THE TYPES OF MACHINE
LEARNING IN WHICH MACHINES ARE TRAINED
USING WELL "LABELLED" TRAINING DATA, AND ON
BASIS OF THAT DATA, MACHINES PREDICT THE
OUTPUT.

7. How it's Works?

9. UNSUPERVISED LEARNING IS A TYPE OF
MACHINE LEARNING IN WHICH MODELS ARE
TRAINED USING UNLABELED DATASET AND ARE
ALLOWED TO ACT ON THAT DATA WITHOUT
ANY SUPERVISION.

10. How it's Works?

12. Reinforcement learning is a machine learning
training method based on rewarding desired
behaviors and/or punishing undesired ones.

13. How it's Works?

16. PRESENTED BY: RISHIKA
M.C.A -FIRST YEAR
K.I.E.T
REFERENCES -
HTTPS://WWW.W3SCHOOLS.COM/PYTH
ON/PYTHON_ML_GETTING_STARTED.A
SP
HTTPS://WWW.JAVATPOINT.COM/MACH
INE-LEARNING