INTRODUCTION
Python
Summarize
The details of machine learning will be discussed later, but briefly, if a
machine can learn by itself based on experience or predict it, then the system
is Intelligent or ML Activated.
Currently, machine learning has become an important factor for any
engineering department. It is very important to learn it for data analysis,
classification, prediction. Big data, data science, and machine learning are
associated with artificial intelligence. At present, in general web apps or
mobile phones, ML's various theories are applying so that the application you
use becomes more intelligent and can gain the ability to understand your
mind. Common applications and ML applicable apps are different, common
applications will always be common, but the ML implementation will be
unique, every time you use the app, it seems to be more intelligent. However,
ML can not only give an intelligence to the app, but there is no pair of ML
for classification and perfection of any type from diagnosis. In this course,
basically, as well as creating models, the mathematics behind it will be
explained in the fluent language.
This Course is for:
Artistic Intelligence, Big Data, Interested in Data Mining or ML practitioner,
ML Hobbyist and ML Beginners can have this course. Whoever heard the
name of Machine Learning and interested in applying can do the course.
Details are described below.
What you need to know before starting the course (* Marked topics will
be excluded from discussion):
Basic Python Programming *
Basic MATLAB Programming *
Basic JavaScript Programming *
Linear Algebra *
