Mining Massive Data Sets by Stanford University offered by Stanford University
- Private University
8180 acre campus- Estd. 1885
Mining Massive Data Sets by Stanford University at Stanford University Overview
Mining Massive Data Sets by Stanford University
at Stanford University
Data mining can lead to the development of new products, services, and solutions that address various challenges
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
Mining Massive Data Sets by Stanford University at Stanford University Highlights
Mining Massive Data Sets by Stanford University
at Stanford University
- Earn a certificate from Stanford University
- Learn from industry experts
Mining Massive Data Sets by Stanford University at Stanford University Course details
Mining Massive Data Sets by Stanford University
at Stanford University
Skills you will learn
Who should do this course?
- For individuals who want to enhance their knowledge & skills in the field
What are the course deliverables?
- Apply data mining techniques and algorithms to solve real-world problems and case studies across various domains such as e-commerce, social media, healthcare, finance, and cybersecurit
- Consider ethical and legal considerations in mining massive datasets, including issues related to privacy, data security, bias, fairness, and transparency, and explore strategies for responsible data usage and handling
- Develop skills in communicating insights derived from large-scale datasets effectively through visualization techniques such as charts, graphs, and dashboards, and in presenting findings to diverse stakeholders in a clear and understandable manner
- Understand graph mining algorithms and network analysis techniques for extracting insights from large-scale network datasets, including community detection, centrality measures, and link prediction
- Explore techniques for mining unstructured data sources such as text documents and web content, including natural language processing (NLP) methods, sentiment analysis, topic modeling, and web crawling and scraping
More about this course
- This courses introduces modern distributed file systems and MapReduce, including what distinguishes good MapReduce algorithms from good algorithms in general
- The rest of the course is devoted to algorithms for extracting models and information from large datasets
- Participants will learn how Google's PageRank algorithm models importance of Web pages and some of the many extensions that have been used for a variety of purposes
- We'll cover locality-sensitive hashing, a bit of magic that allows you to find similar items in a set of items so large you cannot possibly compare each pair
- When data is stored as a very large, sparse matrix, dimensionality reduction is often a good way to model the data, but standard approaches do not scale well; we'll talk about efficient approaches
Mining Massive Data Sets by Stanford University at Stanford University Curriculum
Mining Massive Data Sets by Stanford University
at Stanford University
Week 1:
MapReduce
Link Analysis -- PageRank
Week 2:
Locality-Sensitive Hashing -- Basics + Applications
Distance Measures
Nearest Neighbors
Frequent Itemsets
Week 3:
Data Stream Mining
Analysis of Large Graphs
Week 4:
Recommender Systems
Dimensionality Reduction
Week 5:
Clustering
Computational Advertising
Week 6:
Support-Vector Machines
Decision Trees
MapReduce Algorithms
Week 7:
More About Link Analysis -- Topic-specific PageRank, Link Spam.
More About Locality-Sensitive Hashing
Mining Massive Data Sets by Stanford University at Stanford University Entry Requirements
Mining Massive Data Sets by Stanford University
at Stanford University
Eligibility criteria
- Education: Graduate
Conditional Offer
- Not mentioned
Other courses offered by Stanford University
Study in USAUniversities in USAUniversities in StanfordStanford UniversityMining Massive Data Sets by Stanford UniversityMining Massive Data Sets by Stanford University at Stanford University Popular & recent articles
Mining Massive Data Sets by Stanford University
at Stanford University
View more articles
Mining Massive Data Sets by Stanford University at Stanford University Contact Information
Mining Massive Data Sets by Stanford University
at Stanford University