Sharing Materials

Presentations

The Data Scientist's "Software Stack" and Three Tips in Model Development
2023 Feb [View]
In this talk, I first shared my go-to software setup to work and collaborate well within a team - this will ease the job for MLE/DE/PM to deliver a satisfactory product. Secondly, I emphasized the imperative of assessing at every stage during the development cycle and identifying a clear objective before proceeding to the next stage, with a highlight on "Problem statement" and "Iterated model enhancement with gap-based logical reasoning".

Mind maps

Disclaimer: Books' content is restructured into a mind map to capture their general ideas. Notes are mostly direct quotes from the books as reference content unless stated otherwise. The mind maps serve for personal use with no commercializing intent.

[Book Summary] Practical Time Series Analysis: Prediction with Statistics and Machine Learning, Aileen Nielsen
2023 Jun [View]
The book describes well the practical aspect of an end-to-end time series development process. It discusses the best practices of EDA, feature engineering, modelling, and data storing with valuable tips: lookahead issue, plotting techniques, temporal characteristics in analysis, etc... The writing and mathematical explanation are not well-written, but its content is best appreciated once you work on a time series forecast use case. Microsoft PowerPoint 2019 & Mind Map icon by Icons8