Let’s first understand
an overview of Machine Learning then we learn more in details about Linear
is Machine Learning?
Here, I will
not give the theoretical definition. I will try give you a simple definition of
Learning: It is the
field of Computer Science that gives computer’s the ability to learn without
being explicitly programmed.
Now I know
you may have a doubt that then what’s the difference between Traditional programming
Vs Machine Learning.
programming, we give data as an input and also the program/tasks to be done to
the computer and then the computer follows the program/instructions and
produces the outputs.
learning, we provide data and its output as an input to the computer and try to
find a program (trained model) which can be used to predict the output of the
other data points.
Learning is broadly divided into 3 types:
1. Supervised Learning
It is a task of learning a
function/equation that maps an input to output based on the given set of
Learning is classified into 2 types:
It’s a technique to find a best-fitting line to the given data points.
It’s a technique to a linear or non-linear Separator to the given data points.
2. Unsupervised Learning
It is a study of how systems can
infer a function to describe a hidden structure/pattern from the unlabeled
data. Here we will only have input data and no corresponding output data.
Unsupervised learning is
further divided into 2 types:
It’s a process to discover hidden groupings in the data points.
It’s a process to discover the rules that describe the huge data.
3. Reinforcement Learning
learning algorithm, or agent, learns by interacting with its environment. The
agent receives rewards by performing correctly and penalties for performing
incorrectly. The agent learns without
intervention from a human by maximizing its reward and minimizing its penalty.
This is a very small introduction to Machine Learning and its types. In further articles and tutorials, you will find in-depth knowledge. So stay tuned.
I hope you enjoyed reading this article and finally, you came
to know about Introduction to Machine Learning.
For more such blogs/courses on data science, machine
learning, artificial intelligence and emerging new technologies do visit us at InsideAIML.