|
gptkbp:instance_of
|
gptkb:Yes
|
|
gptkbp:class
|
Industry Experts
Research Scholars
|
|
gptkbp:focuses_on
|
gptkb:machine_learning
|
|
gptkbp:has_assessment_method
|
gptkb:project
Final Exam
Midterm Exam
|
|
gptkbp:has_course_website
|
http://cs229.stanford.edu
|
|
gptkbp:has_format
|
gptkb:educational_programs
gptkb:lectures
Discussion Sections
|
|
gptkbp:has_prerequisite
|
Linear Algebra
Probability
Statistics
|
|
gptkbp:has_syllabus
|
Available Online
|
|
gptkbp:is_available_on
|
gptkb:Coursera
gptkb:ed_X
|
|
gptkbp:is_influential_in
|
gptkb:AI_Research
gptkb:Autonomous_Vehicles
gptkb:Natural_Language_Processing
gptkb:developers
gptkb:Data_Science
gptkb:robotics
gptkb:Marketing_AI
Healthcare AI
Finance AI
|
|
gptkbp:is_part_of
|
Stanford's AI curriculum
Stanford's Graduate Program
Stanford's Undergraduate Program
|
|
gptkbp:is_popular_among
|
gptkb:students
Professionals
|
|
gptkbp:is_recognized_by
|
Academics
Tech Companies
|
|
gptkbp:is_taught_in
|
gptkb:Stanford_University
|
|
gptkbp:offers
|
Exams
Assignments
Lecture Notes
|
|
gptkbp:outcome
|
Ability to implement ML solutions
Familiarity with ML tools
Knowledge of ML applications
Understanding of ML algorithms
|
|
gptkbp:provides_access_to
|
Fall Quarter
Spring Quarter
Winter Quarter
|
|
gptkbp:topics
|
gptkb:Support_Vector_Machines
gptkb:neural_networks
Clustering
Dimensionality Reduction
Supervised Learning
Unsupervised Learning
|
|
gptkbp:training_programs
|
gptkb:Andrew_Ng
|
|
gptkbp:bfsParent
|
gptkb:Andrew_Ng
|
|
gptkbp:bfsLayer
|
3
|