Master Machine Learning techniques, including supervised and unsupervised learning and hands-on
modelling rounding out your Data Science education.AI is a smart System which you can talk with a PC or
a system. Most of the IT Companies are trying to change their domain into AI. AI is also a branch of IT
which will create an intelligent machine. The main purpose of AI is to make interactive software or a
computer controlled Robot. Many of the banks such a HDFC they are designed a BPO service you can talk
with computer and the computer has to know what you want. The main Goal of AI to create human
intelligence in machine. AI Programs can understand new modification by putting highly independent
piece of information together.

Machine Learning and AI’s are branches of Computer science. Machine
Learning is closely related to Data Mining rather than AI. Data mining has been there since the
evolution of data and computers which have been into the world quiet alot . The better example of
machine learning is your spam mails. Some mails will go to spam is nothing but machine learning. In
ML we are writing certain algorithms weather the mail are real or spam. So that the good emails to be
delivered to be in the inbox. In ML we are having huge dataset. Google also released the Machine
Learning scenario When taking a restaurant pic it will understand based on names writing in and
handwriting , images and logo. This is what predictions happens.

Deep Learning Main component is Neural networks. Deep learning is a
subfield of Machine learning that deals with algorithms inspired by the structure and function of the
brain. The first level of Deep learning is AI. It is an ability of machine to imitate intelligence human
behaviour. The next level is Machine Learning. It is an application of AI that allows a system to
automatically learn and improve from an experience. The last level will be the Deep learning. In this
case application of Machine learning that uses complex algorithms and deep neural nets to train a
model.
Why Deep Learning ?
Process Huge amount of Data
Perform complex algorithms
To achieve the best performance with large amount of data
Feature Extractiona