Machine Learning Workshop DSC presentation

1. Machine Learning
101
S. Cahyo Ardhi Iswara
RnD Assistant at i-smile Laboratory
linkedin.com/in/cahyoardhi/
The introduction of machine learning
Elvin Nur Furqon
Ex-RnD Assistant at SEA Laboratory
linkedin.com/in/elvinnurfurqon/

2. “Machine learning is
the study of
computer algorithm
that allow computer
program to
automatically
improve through
experience”
Tom M. Mitchell

3. Abu’s Story

4. AI vs ML vs DL?
Artificial Intelligence (AI) refers to the
simulation of human intelligence processes
by machines.
Machine learning (ML) is an application of AI
generating systems that can learn and
improve without being explicitly
programmed.
Deep Learning (DL) refers to ML that can
learn and find the feature from the data
Deep
Learning
Machine Learning
Artificial
Intelligence

5. ML in Industry 4.0
Main Field
1. Quality Control
2. Forecasting
3. Chatbot
4. Sentiment Analysis

6. Where to start?
There Are 2 type point of view to start

7. Top to bottom approach
Learn
Programming
and machine
learning
framework
Practise on
various
dataset and
case
Create custom
function for
custom case
like weighted
loss function
Learn Math
behind
machine
learning
algorithm to
apply custom
function

8. Bottom to top approach
Learn math behind
machine learning
algorithm
Learn programming
and machine
learning framework
Practise on various
dataset and case
Build high level
system for end to
end process by
scratch

9. Tools
Python Pandas
Matplotlib
Scikit
learn
Tensorflow
Numpy

10. ML Application
Classification Object Detection Reinforcement
Learning

11. Learning source recommendation

15. “Don’t worry about it
if you don’t
understand”
Andrew Ng

16. Thank You!
S. Cahyo Ardhi Iswara
RnD Assistant at i-smile Laboratory
linkedin.com/in/cahyoardhi/
Elvin Nur Furqon
Ex-RnD Assistant at SEA Laboratory
linkedin.com/in/elvinnurfurqon/