Machine Learning course on Coursera
GPTKB entity
Properties (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Online Course
|
| gptkbp:associated_with |
Machine_Learning_community
|
| gptkbp:availableIn |
Free to audit
|
| gptkbp:duration |
11 weeks
|
| gptkbp:has |
High enrollment numbers
|
| gptkbp:has_a_focus_on |
Regression analysis
Neural networks Supervised learning Clustering algorithms Unsupervised learning Support vector machines |
| https://www.w3.org/2000/01/rdf-schema#label |
Machine Learning course on Coursera
|
| gptkbp:includes |
Quizzes
Case studies Video lectures Assignments Hands-on projects |
| gptkbp:is_accessible_by |
Mobile devices
Desktop computers |
| gptkbp:is_available_in |
gptkb:Stanford_University
Multiple languages |
| gptkbp:is_designed_to |
Self-paced learning
|
| gptkbp:is_known_for |
Interactive content
Practical exercises Expert instructors Comprehensive curriculum |
| gptkbp:is_part_of |
Deep Learning Specialization
AI for Everyone Specialization AI track Data_Science_track Professional_Certificate_programs |
| gptkbp:is_popular_among |
Students
Data scientists Professionals in the field Software engineers Educational platforms Tech_blogs |
| gptkbp:is_recognized_for |
Industry professionals
|
| gptkbp:isUpdatedBy |
Regularly
|
| gptkbp:language |
English
|
| gptkbp:level |
Beginner
|
| gptkbp:offers |
Financial aid options
Machine_Learning_concepts |
| gptkbp:platforms |
Coursera
|
| gptkbp:provides |
Real-world applications
Certificate of completion |
| gptkbp:provides_access_to |
Peer reviews
Discussion forums Supplementary materials |
| gptkbp:receives |
Positive reviews
|
| gptkbp:requires |
Basic knowledge of linear algebra
Basic knowledge of programming Basic knowledge of statistics |
| gptkbp:suitableFor |
Career changers
Beginners in AI |
| gptkbp:taught |
gptkb:Andrew_Ng
|