ML Coding Question -  KNN Algorithm (Full mock interview with Snapchat MLE)

ML Coding Question - KNN Algorithm (Full mock interview with Snapchat MLE)

5.076 Lượt nghe
ML Coding Question - KNN Algorithm (Full mock interview with Snapchat MLE)
Ace your machine learning interviews with Exponent’s ML engineer interview course: https://bit.ly/3wARKQb This video features an interview where an ML Engineer from Snapchat implements the k-nearest neighbors algorithm. The interviewer and candidate discuss the algorithm's concepts, including distance metrics and binary classification. The candidate outlines their approach, codes the solution in Python with NumPy, and tests the code with different examples and they collaboratively address a minor debugging issue. Chapters 00:00 - Introduction to K-Nearest Neighbors (KNN) Algorithm Implementation 04:22 - Understanding K and N in KNN Inference Function 06:43 - Calculating Distances Between Data Points with Python 10:56 - KNN Inference Using Euclidean Distance 16:40 - Demonstrating Distance Calculations with NumPy Arrays 20:13 - Handling Errors in Results 23:30 - Code Verification for Euclidean Distance 25:11 - Enhancing Distance Functions with Python Dictionaries 29:59 - Overview of Algorithm Implementation and Debugging Techniques Want more machine learning content? - Essential ML Engineer Interview Questions: https://youtu.be/7tLMslk1Zm8 - Fake News Detection System - Machine Learning Mock Interview - https://youtu.be/qrNqUwpypT8 - Amazon Machine Learning Engineer Interview: K-Means Clustering - https://youtu.be/xKZHH-UOsUM - How to Become a Machine Learning Engineer - https://youtu.be/VP8eC3I1IHQ 👉 Subscribe to our channel: http://bit.ly/exponentyt 🕊️ Follow us on Twitter: http://bit.ly/exptweet 💙 Like us on Facebook for special discounts: http://bit.ly/exponentfb 📷 Check us out on Instagram: http://bit.ly/exponentig 📹 Watch us on TikTok: https://bit.ly/exponenttiktok ABOUT US: Did you enjoy this video? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others. Our courses include interview lessons, questions, and complete answers with video walkthroughs. Access hours of real interview videos, where we analyze what went right or wrong, and our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!