Crack Data Science Interviews: Essential Machine Learning Concepts

Data Science Interviews cover a wide range of topics: a Statistics component testing candidates' general statistical fluency, a Machine Learning section on candidates' knowledge of various ML algorithms and the tradeoffs, and a programming part that excruciates us for live-coding skills. Even more, there is a newly found trend in the DS community, which is shifting towards Computer Science fundamentals like Data Structure & Algorithm (Check the wonderful article Emma Ding @Airbnb). Taken together, they appear to be too daunting to handle. If we divide the big chunks into smaller pieces, each piece becomes more "chewable" and manageable. This is the first chapter of a dual post on fundamental concepts.