Machine learning and artificial intelligence are explained. Machine learning uses algorithms and past data to allow computers to optimize performance and develop behaviors without being explicitly programmed. It is a branch of artificial intelligence that uses supervised and unsupervised algorithms to apply past information to new data or draw conclusions from datasets. Case studies show how machine learning reveals influences and predicts user preferences. Artificial intelligence aims to simulate human intelligence through computer science, psychology, and other fields. Industries like healthcare and finance will benefit from machine learning and artificial intelligence applications like disease prediction and financial recommendations.

1. MACHINE LEARNING AND
ARTIFICIAL INTELLIGENCE
Explained with a human touch

2. What is Machine Learning?
Programming a computer, to optimize performance standards, by using past experience
Machine learning is a branch of Artificial Intelligence
Calculation of algorithms allow computers to develop behavior's based on real data

3. Quick facts about Machine Learning
Machine learning algorithms
Supervised
algorithms
Apply past information
registered, to new data
Unsupervised
algorithms
Draw conclusions from
datasets

4. Components of Machine Learning
Representation
Evaluation
Optimization

5. Case studies on Machine Learning
If a member
frequently “likes”
a friend’s posts,
the news feed will
automatically
start showing
more of that
friend’s activity,
earlier in the feed.
Machine learning
algorithms have
helped reveal
previously
unrecognized
influences
between artists.
Netflix predicts
the ratings an
individual will
give a movie,
which they
haven’t even
watched yet,
based on previous
movie ratings
made by them.

6. Statistical method used to recommend a
movie on Netflix
Anybody can
ask a question
Anybody can
answer
The best answers
are voted up and
rise to the top

7. What is Artificial Intelligence
Steering machines, towards understanding human
intelligence.

8. The history of Artificial Intelligence (AI) began
years ago.There were stories, myths, and
rumours of artificial beings graced with
intelligence and consciousness by master
craftsmen.
In 1958, John McCarthy and Marvin
Minsky started the MIT Artificial Intelligence lab
with $50,000.
The field of AI research was founded at a
conference, on the campus of Darthmouth
College, in the summer of 1956.
Pamela McCorduck wrote, AI began with "an
ancient wish to forge the gods”.
The history of
Artificial Intelligence

9. Components
of Artificial
Intelligence
Philosophy
Computer
Science
Psychology
Neuron
Science
Biology
Maths
Sociology

10. Industries which will benefit because of
Machine Learning and Artificial Intelligence
• AI financial advisors will soon replace
human advisors, as computerized systems
can scan tens of thousands of enterprises
to make quick recommendations.
Finance
• Sequencing of individual genomes and
comparing them to a large database, will
allow doctors and AI bots to predict the
probability of contracting a particular
disease and a remedy to treat it, when it
appears.
Healthcare

11. Use case example - Open Assistance
Open assistance is an
open source Artificial
Intelligence system.
It is built
with Arch
Linux.
It acts as a
virtual assistant
and does not
require the
internet to the
function.

12. What the future of Artificial Intelligence
looks like
Driverless
cars

13. How we at Extentia can help
■ Techquarium is Extentia’s platform for innovation in IoT,
Big Data, virtual and augmented reality, wearables, AI,
and neuroscience.
■ To know more, click here.