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/

17. Start Career as
Machine Learning Engineer
Julio Anthony Leonard
Machine Learning Engineer at Gojek
Cofounder at Impacteam Consultancy
Indonesia

18. Life so Far
- From Palu, Sulawesi Tengah, a good start
- Applied for ITB, not accepted, got to ITS, yay 🎉
- Sucked at college 1st year, playing all days, at least winning campus championship
- Needed money, learnt Android development and doing freelance
- Joined some community to learn, started building LinkedIn profile and CV, applied to 20 companies weekly
- AIESEC Global Talent Internship in Japan 🇯🇵
- Gojek Bootcamp and joined as Software Dev, Platform Team in Bangalore 💻
- Career reset to Machine Learning Engineer, still struggling though 🧠
- Co-founding consultancy service, ImpacTeam

19. Machine Learning Quick Overview

20. Brief timeline of Machine Learning in Industry
- Traditional AI: Retype
- Machine Learning: Supervised(Classification), Unsupervised(Clustering)
- Real Time Machine Learning: Reinforcement

21. Machine Learning Lifecycle

22. Machine Learning Lifecycle
Source
Ask a good questions

23. What is
Machine Learning
Engineer

24. Boundary
But not Limited to
Building Library
Some readings if you want
https://blog.gojekengineering.com/tagged/machine-learning

25. Why is it Hard?
Suka dan Duka Story

26. - Many Many Tools
- New Fields
- Growing Pretty Fast
- Highly Competitive
- Expensive :( Someone solve this pls. No worries I can help you on next slide

27. What you can do as a starter?
Build Portfolio: I guarantee you it would need 3 months minimum with consistent effort to do this, easy to say, Hard to Do.
Remember the expensive part we are talking about? There are freebies now!
- Google Education: A lot of Freebies
- Github Student Pack: Free when you have school emails
- Tensorflow: One of the simplest machine learning library
- Learn Python at Progate: Interactive hands on, Bahasa Indo
-
-

28. Another Skills Needed
5 Softskills
- Asking a good question
- Communication skills, woops hardest
- Never give up until you solve the problem you’re in
- Growth Mindset
- Reading

29. “You don’t have to be great to start, you have to start to be great!” - Zag Ziglar
“The key is dream big and never give up, and believe every fails (as long as you’re not dead) is meant for learning process” - Juan

30. Good Readings
To give you some sense of bigger Picture
Serious
- Towards Data Science on Medium, Viral Articles
- All Gojek Engineering Blog About ML
- Power point from my friend in Data Science
- Get Connected with Data Scientist, Data Engineering, ML Engineer or whoever on linkedin, feel free to ask questions but don’t expect an answer.
Joke
- https://datasciencedojo.com/community/jokes/
- https://xkcd.com/

31. Good Dojo
To practice and improve your skills
- Kaggle
- Qwiklabs
- Hackerrank
- Competitions
- Stackoverflow
- Build your own projects and publish
- Use Research Open Data
- Publish to Github

32. Short Flowchart
- Job is just a title, just do what you like and love, and keep growing on that field.

33. Thank You!
Feel free to connect at
LinkedIn, add notes pls
Julio Anthony Leonard
Machine Learning Engineer at Gojek
Cofounder at Impacteam
Indonesia

34. Quick but better to have
lots of QnA
AMA (Ask Me Anything)