前瞻工程全英語碩士學位學程(Master Program in Advanced Engineering)
課程名稱(英文)
Large-Scale Data Analysis and Search
課程代碼
4465051_01
授課教師：
邱志義
學分數
3
必/選修
選修
開課年級
碩博合開
先修科目或先備能力：
This is an introductory course, intended for senior undergraduate and graduate students. The prerequisites are courses on computer programming, algorithms, and linear algebra.
課程概述：
Teach students who want to learn the basic concepts and state-of-the-art of large-scale data analysis techniques and related applications in information retrieval and search, including clustering, quantization, hashing, representation, and indexing.
學習目標：
1. Learn how to formulate, experiment, and evaluate related methods when process.
2. Learn core concepts and theories of information retrieval and search.
3. Learn how to solve problems by machine learning and information retrieval alg
教科書：
課程大綱
分配時數
核心能力
備註
單元主題
內容綱要
講授
示範
隨堂作業
其他
Approximate nearest neighbor search
Basic concepts, indexing, reranking, and state-of-the-art methods
9
Product quantization
Basic concepts, optimized PQ, deep learning-based PQ
6
Clustering
K-means, EM algorithm, deep learning-based clustering
6
hashing
Random projection, supervised and unsupervised hashing
4.5
Dimensionality reduction
PCA, LDA, LLE, manifold learning, t-SNE
4.5
Applications
Cross-modal analysis and retrieval, Recommender systems
9
Project
Project introduction and result presentation
3
3
Paper presentation
Presenting selected top conference and journal papers