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Research#Machine Learning👥 CommunityAnalyzed: Jan 10, 2026 17:11

Analyzing Machine Learning Through Quora Q&A: A Hacker News Review

Published:Jul 28, 2017 17:30
1 min read
Hacker News

Analysis

This article's value depends entirely on the quality and insights derived from the 187 Quora questions. Without knowing the actual content, it's impossible to gauge its impact beyond a simple aggregation of community knowledge.
Reference

“The article is sourced from Hacker News.”

PermalinkHacker News
Research#PhD Guidance📝 BlogAnalyzed: Dec 29, 2025 01:43

A Survival Guide to a PhD

Published:Sep 7, 2016 11:00
1 min read
Andrej Karpathy

Analysis

This article, written by Andrej Karpathy, offers a retrospective guide to navigating the PhD experience, particularly in Computer Science, Machine Learning, and Computer Vision. It acknowledges the variability of the PhD journey and aims to provide helpful tips and tricks. The author emphasizes the importance of self-reflection and considering whether a PhD aligns with one's goals, drawing from personal experiences and external resources like a Quora thread. The guide's value lies in its practical advice and the author's willingness to share insights gained from completing a PhD.
Reference

“First, should you want to get a PhD? I was in a fortunate position of knowing since young age that I really wanted a PhD.”

PermalinkAndrej Karpathy
Research#machine learning📝 BlogAnalyzed: Dec 29, 2025 08:44

Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

Published:Aug 28, 2016 23:26
1 min read
Practical AI

Analysis

This article summarizes a podcast interview with Xavier Amatriain, a prominent figure in the machine learning field. The interview covers his experiences at Netflix, where he led the machine learning recommendations team, and his current role as VP of Engineering at Quora. The discussion delves into practical aspects of building machine learning systems, including the reasons behind Netflix's decision not to use the winning solution of the Netflix Prize, the challenges of engineering practical systems, Amatriain's skepticism towards the deep learning hype, and an explanation of multi-arm bandits. The article provides a glimpse into the real-world application of machine learning and the considerations involved in deploying such systems.
Reference

“Why Netflix invested $1 million in the Netflix Prize, but didn’t use the winning solution”

PermalinkPractical AI