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Hulu Beijing
Hulu Beijing
Dec 1, 2017 · Artificial Intelligence

How to Evaluate Unsupervised Clustering Algorithms: Metrics, Scenarios, and Insights

This article explains how to assess unsupervised clustering algorithms by describing realistic user‑watching scenarios, outlining common cluster and algorithm types, presenting five key evaluation criteria, and introducing practical metrics such as RMSSTD, R‑Square, and the improved Hubert‑Gamma statistic.

Metricsclustering evaluationdata mining
0 likes · 10 min read
How to Evaluate Unsupervised Clustering Algorithms: Metrics, Scenarios, and Insights
Hulu Beijing
Hulu Beijing
Nov 23, 2017 · Artificial Intelligence

Why Use Cosine Similarity Over Euclidean Distance? Insights & Limits

This article explains the concept of cosine distance, compares it with Euclidean distance, discusses when cosine similarity is preferable, and shows why cosine distance does not satisfy all metric axioms, providing examples and interview‑style analysis.

Interview preparationcosine similaritydistance metric
0 likes · 7 min read
Why Use Cosine Similarity Over Euclidean Distance? Insights & Limits
Hulu Beijing
Hulu Beijing
Nov 21, 2017 · Artificial Intelligence

How to Tackle Imbalanced Datasets with Sampling Techniques

Sampling transforms complex distributions into manageable data points, and mastering methods like random oversampling, undersampling, SMOTE, and its variants is essential for handling imbalanced binary classification problems in machine learning, ensuring models achieve balanced accuracy and recall across classes.

Imbalanced DataSMOTESampling
0 likes · 8 min read
How to Tackle Imbalanced Datasets with Sampling Techniques
Hulu Beijing
Hulu Beijing
Nov 16, 2017 · Artificial Intelligence

How to Verify Gradient Implementations: A Practical Optimization Exercise

This article introduces optimization as a core of machine learning, explains the challenges of large‑scale non‑convex problems, and presents a hands‑on gradient verification exercise that shows how to use objective‑value computations to confirm gradient correctness.

Adam optimizerOptimizationgradient verification
0 likes · 5 min read
How to Verify Gradient Implementations: A Practical Optimization Exercise
Hulu Beijing
Hulu Beijing
Nov 14, 2017 · Artificial Intelligence

Are Projected Points Still Linearly Separable? SVM Insight & Proof

This article examines whether points from two linearly separable classes remain separable after being projected onto the SVM decision hyperplane, providing geometric and convex‑optimization proofs along with illustrative diagrams and references for deeper study.

convex optimizationhyperplane projectionlinear separability
0 likes · 7 min read
Are Projected Points Still Linearly Separable? SVM Insight & Proof
Hulu Beijing
Hulu Beijing
Nov 9, 2017 · Artificial Intelligence

Mastering ROC Curves: How to Plot and Compute AUC for Binary Classification

This article explains the fundamentals of ROC curve construction, the calculation of AUC, compares ROC with PR curves, and provides step‑by‑step examples—including a medical diagnosis scenario and threshold adjustments—to help readers accurately evaluate binary classification models.

AUCROCbinary classification
0 likes · 10 min read
Mastering ROC Curves: How to Plot and Compute AUC for Binary Classification
Hulu Beijing
Hulu Beijing
Oct 20, 2017 · Cloud Computing

Inside Hulu’s Cloud Architecture: A 1,000‑Foot View of Microservices and Scale

Chief architect at Hulu shares a high‑level overview of the company’s tech ecosystem, detailing its microservice‑based backend on the Donki PaaS, cloud‑flexible deployments, extensive machine‑learning pipelines, VOD and live‑streaming services, multilingual codebases, and the operational challenges of scaling a global streaming platform.

architecturecloud computingmicroservices
0 likes · 9 min read
Inside Hulu’s Cloud Architecture: A 1,000‑Foot View of Microservices and Scale
Hulu Beijing
Hulu Beijing
Aug 7, 2017 · Cloud Computing

What Drives Success in the Second Wave of Video Live Streaming? Expert Insights

The article reviews the evolution of the video livestream industry, summarizing a July 29 51CTO‑hosted technical salon where experts from Momo Live, Hulu, Kingsoft Cloud, and GSX shared practical strategies on CDN probing, H.265 adoption, adaptive bitrate algorithms, and education‑focused streaming architecture to reduce costs and improve user experience.

CDNH.265adaptive bitrate
0 likes · 7 min read
What Drives Success in the Second Wave of Video Live Streaming? Expert Insights
Hulu Beijing
Hulu Beijing
Jun 6, 2017 · Backend Development

How Hulu Built a Scalable, High‑Quality Live‑Streaming Platform with DASH

This article outlines Hulu's chief software architect Li Bin's 2017 Global Architect Summit talk, covering the design, scalability, low‑latency, and high‑definition live‑streaming system built on DASH, its architecture differences from traditional IPTV, and practical lessons for engineers.

DASHHuluScalability
0 likes · 4 min read
How Hulu Built a Scalable, High‑Quality Live‑Streaming Platform with DASH