An intensive specialization that strives for a fine balance between practical applications and mathematical rigor in teaching essential machine learning concepts. By taking a learn-by-building approach, you will learn to develop regression and classification algorithms and incorporate them into real-life solutions or data products / business applications.
The modules in all the workshops follow our project-based learning philosophy to this specialization. The course capstone requires that the student build a real-world application under stringent criteria modeled after real business scenarios.
Schedule
- Week 1
Programming for Data Science and Practical Statistics - Week 2
Regression Models - Week 3
Machine Learning: Classification 1 - Week 4
Machine Learning: Classification 2 - Unsupervised Machine Learning
- Time Series & Forecasting
- Neural Networks & Deep Learning
- Capstone Project
Course Producer
Samuel Chan
Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.
Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.
