Junior ML-инженер | Выпуск 1 | Собеседование | karpov.courses

Start ML Course https://bit.ly/3Ma0KPP Let's say you've completed the Start ML course, learned how to solve the most frequently asked questions in interviews using the materials "Interviews and How to Pass Them," and are ready to look for your first ML job. To help you understand how to successfully pass a technical interview, Start ML program curator Nerses Bagiyan conducted a mock interview with course student Alexandra Breus. And Python and Machine Learning instructors Alexey Kozharin and Nikita Tabakaev provided their comments. What specific Python and machine learning knowledge does a Junior ML engineer need? We'll explore this in our interview! Python Block 00:00 Introduction 1:44 Data Types 2:27 LOA by Data Type 2:54 Dictionaries 3:34 LOA by Dictionaries 3:55 Problem 1 4:39 LOA and Comments on Problem 1 6:36 Problem 2 7:42 LOA and Comments on Problem 2 ML Block 30:10 Moving to the ML Block. Linear Models 31:27 The Most Popular Loss in Linear Regression 31:59 LOA by Linear Models 35:26 kNN 37:21 LOA by Comparing a Linear Model and kNN 41:28 Trees 47:53 LOA by Trees 51:04 Gradient Boosting 1:03:53 LOA by Boosting + Final LOA by Block