by yuan meng (website, linkedin)

phd candidate @berkeley (bayes, ml, minds)

click ▸ in each section to expand

• overview: ml pipeline
• step i: data cleaning
• step ii: feature engineering
• step iii: training + validation
• step iv: interpretation
• classical ml algorithms
• common interview questions