Machine Learning Workshop 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
- 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
- 22. Machine Learning Lifecycle Source Ask a good questions
- 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)