КАЙФОВОЕ СОБЕСЕДОВАНИЕ В ВАЙЛДБЕРРИЗ (на data scientist)

🔑 Get a free analysis of your level and a personalized training roadmap: follow the link and fill out a short brief within 5 minutes: https://offer.gernar.ru/?utm_source=y... 🐳 Telegram: https://t.me/gernar228 (subscribe, there's tons of useful information on employment and job openings, not on xx.ru) 🧠 And if you're a seasoned IT professional, text our manager the code word "REMOTE" and get a free analysis of your level and a roadmap for finding employment at an international company from a real remote expert: https://t.me/m/S0MVt890MGEy This is a breakdown of a real interview for the ML Engineer position: we watch a real interview and analyze it to understand how to answer the questions. Interviews, how to pass the interview, and what to pay attention to if you have a data science or ML engineer interview coming up. 📕 Interview Question Database: https://gernar.ru/questions ❓ Guide to finding an IT job in 3 months without work experience: https://t.me/gernar228/788 🐳 Telegram: https://t.me/gernar228 (subscribe) TIMESTAMPS: 00:00 – Real Data Scientist Interview 00:31 – Question 1: How to evaluate the quality of a demand forecasting model? 01:37 – The main problem with the MAPE metric 02:30 – Important case 03:31 – VERY IMPORTANT POINT 05:30 – Question 2: How to evaluate the quality of a scoring model in microfinance? 08:33 – Question 3: What is Average Precision and how does it relate to the PR curve? 11:28 – Question 4: What is the curse of dimensionality and how can it be overcome? 14:32 – Question 5: What is multicollinearity and how does it manifest itself? 15:59 – Question 6: How do linear regression, tree, and boosting predict beyond the training set? 18:15 – Did the candidate receive an OFFER?