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
• 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
