Machine Learning Introduction for Beginners

What is Machine Learning?

• Machine learning (ML) is the study of computer
algorithms that improve automatically through experien
• It is a subset of artificial intelligence.
• Machine learning algorithms build a model based on
sample data, known as "training data".
• It is used to design systems suitable for classification,
predictions or any decisions making applications.
• Without being explicitly programmed.

,Popular Machine Learning Applications
• Facebook and Google are using machine learning for pushing relevant
advertisements based on the past search behavior of users. (Also being
by snapchat, instagram, pintrest, etc)
• Email Intelligence:Spam Filters, Smart Replies, Gmail categories emails
groups Primary, Promotions, Social, and Update and label the email as
important.
• Banking and Personal Financing: Fraud Prevention, Credit Decision,
investment planning, loan approcal, etc
• Personal Smart Assistants: Siri, Cortana, Google Assistant, Google hom
and Amazon alexa are soon to be strengthen with ML.
• Bussiness Analysis

, AI: Ability of machine to
human behaviour and t
intelligently like a huma



ML: Ability of machine t
automatically learn with
explicitly programmed




ANN: Ability of machine
automatically learn in a
biological learning.



DNN: Intelligent learnin
Inference
Probabilistic
Methods
Statstical




LSTM......
RNN
HMM
GMM


Network
Neural
Deep
Network
Neural
Artificial


Machine
Vector
Support



various application by h
architecture

, Machine Learning Applications