У нас вы можете посмотреть бесплатно ML Coding Question - Implement K-Means (Full Mock Interview with Snapchat MLE) или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Ace your machine learning interviews with Exponent’s ML engineer interview course: https://bit.ly/3wyaiQS In this video, we explore a Python implementation of the k-means clustering algorithm, an unsupervised technique for grouping similar data points into clusters. This AI implementation clarifies assumptions such as Euclidean distance and user-defined iterations. It utilizes a class-based structure with NumPy arrays for efficient distance calculations and cluster assignments, while also discussing potential enhancements like convergence criteria and data-driven initialization. Chapters (Powered by ChapterMe) - 00:00 - Introduction to K-means for Unsupervised Clustering 00:50 - Understanding the Clustering Algorithm and Euclidean Distance 01:46 - K-means Training: Input Features and Algorithm Basics 07:01 - Implementing K-means Clustering with Prediction 08:49 - Python Implementation of the Centroid Algorithm 14:41 - Utilizing Random Centroids with NumPy 17:21 - Algorithm Iterations and Distance Calculations 20:45 - Detailed Python Implementation: Indexing, Centroids, and Prediction 25:49 - Tips and Advice for Clustering and Data Evaluation 26:46 - Evaluating Cluster Performance in Machine Learning 28:54 - Summary of K-means Algorithm Implementation 31:26 - Concluding Remarks: Modularity, Limitations, and Coding Practices Want more machine learning content? Essential ML Engineer Interview Questions: • Top 6 ML Engineer Interview Questions (wit... Fake News Detection System - Machine Learning Mock Interview - • Fake News Detection System - Machine Learn... Amazon Machine Learning Engineer Interview: K-Means Clustering - • Amazon Machine Learning Engineer Interview... How to Become a Machine Learning Engineer - • How to Become a Machine Learning Engineer 👉 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!