Mining Massive Data Sets Graduate Program offered by Stanford University
- Private University
8180 acre campus- Estd. 1885
Mining Massive Data Sets Graduate Program at Stanford University Overview
Mining Massive Data Sets Graduate Program
at Stanford University
Take your career to the next level with skills that will give your company the power to gain a competitive advantage
Duration | 12 months |
Total fee | ₹4.29 Lakh |
Mode of learning | Online |
Course Level | PG Certificate |
Mining Massive Data Sets Graduate Program at Stanford University Highlights
Mining Massive Data Sets Graduate Program
at Stanford University
- Earn a certificate of completion from Stanford University
Mining Massive Data Sets Graduate Program at Stanford University Course details
Mining Massive Data Sets Graduate Program
at Stanford University
Who should do this course?
- For Software engineers
- For Statisticians
- For Predictive modelers
- For Market research and analytics professionals
- For Data miners
More about this course
- This course will master efficient, powerful techniques and algorithms for extracting information from large datasets such as the web, social-network graphs, and large document repositories
- Businesses need to transform large quantities of information into intelligence that can be used to make smart business decisions
Mining Massive Data Sets Graduate Program at Stanford University Curriculum
Mining Massive Data Sets Graduate Program
at Stanford University
Required Courses (complete 2)
Machine Learning
Mining Massive Data Sets
Elective courses (complete 2)
Natural Language Processing with Deep Learning
Machine Learning with Graphs
Deep Learning
Mining Massive Data Sets Graduate Program at Stanford University Entry Requirements
Mining Massive Data Sets Graduate Program
at Stanford University
Eligibility criteria
- Education: Bachelor?s degree
- Prerequisites: Applicants should have knowledge of basic computer science principles and skills, at a level sufficient to write a reasonably non-trivial computer program
- Familiarity with algorithms, data structures, basic probability theory, and linear algebra
- Useful background also includes work in computer systems, artificial intelligence, statistics, and database systems
Conditional Offer
- Not mentioned
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Mining Massive Data Sets Graduate Program at Stanford University Contact Information
Mining Massive Data Sets Graduate Program
at Stanford University