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Machine Learning Interview Questions
Course Intro
00. Course Intro (5:09)
01. Basic ML Concepts
00. Intro (1:54)
01. What is Machine Learning (17:47)
02. Types of Machine Learning
03. Building a Machine Learning Model (17:02)
02. Algorithm Specific Questions
00. Intro (2:41)
01. How to Choose an Algorithm
02. Common Machine Learning Algorithms Part 1 (15:58)
03. Common Machine Learning Algorithms Part 2 (22:52)
04. Common Machine Learning Algorithms Part 3 (13:02)
05. Comparison Interview Questions (16:20)
03. Model and Data Errors
00. Intro (2:08)
01. Data Related Errors (16:55)
02. Model Related Errors (11:34)
03. Results Testing Techniques (11:18)
04. Application Machine Learning Questions
00. Intro (2:14)
01. Missing/Corrupted Data (5:07)
02. Selecting Important Variables (3:17)
03. Fixing Multicollinearity (3:56)
04. Kernel Tick (3:21)
05. Slow Machine/Limited Memory (4:59)
06. Classification and Random Sampling (3:37)
07. Low Training Error with High Validation Error (4:40)
08. Cross Validation on Time Series Data (3:38)
09. Amazon Recommendation System (5:26)
Summary
Course Summary and Outro (3:12)
Mammoth - Machine Learning Interview Questions
01. How to Choose an Algorithm
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