Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Basic Recommender Systems online course is an intermediate-level programme offered by EIT Digital and Politecnico di Milano in partnership with Coursera. It is an introduction to the leading approaches in recommender systems.
You will learn about both collaborative and content-based approaches, including the key algorithms used in providing recommendations. Further, the curriculum also focuses on the benefits and limitations of various recommender system alternatives.
Basic Recommender Systems course by Coursera requires approximately twelve hours to complete. However, you can choose a study schedule at your convenience due to flexible deadlines and a self-paced format. Coursera offers the course for free to interested learners to promote quality education for people from different backgrounds.
Additionally, you can collect an electronic Basic Recommender Systems certificate and add it to the certifications section on your LinkedIn profile to get better job offers. Moreover, if you purchase the certificate, you will also get access to the course material and all the graded assignments and exercises.
The Highlights
- Intermediate-level programme
- English transcripts
- Electronic certificate
- Offered by EIT Digital
- Free to join the course
- Audit track available
- Graded assignments
- Flexible learning
Programme Offerings
- Intermediate-level study
- Flexible learning
- Shareable E-certificate
- professional certificate
- 11 hours to complete
- Transcripts in English.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2435 | yes | Coursera |
The fees for the course Basic Recommender Systems is -
| Head | Amount in INR |
| Certificate fees | Rs. 2,435 |
Eligibility Criteria
To get a full understanding of the Basic Recommender Systems programme by Coursera, you must have basic knowledge of linear algebra.
Moreover, to earn the shareable electronic certificate, you are required to complete the programme.
What you will learn
The Basic Recommender Systems certification syllabus will help you get familiar with the following concepts:
- Building a basic recommender system
- Objectives and requirements of a recommender system
- Measuring the quality of a recommender system based on needs and goals
- Choosing the appropriate family of a recommender system based on input data, requirements, and goals
- Benefits and limitations of various techniques for the recommender systems in different scenarios
Admission Details
Step 1: You can read about Coursera's Basic Recommender Systems programme here: https://www.coursera.org/learn/basic-recommender-systems
Step 2: After going through the course info, click on the ‘Enrol for free’ option if interested.
Step 3: There will be a pop up on your screen showing the course fee and audit option. Choose one of the options and proceed to the next step.
Step 4: If you opt for the ‘audit only’ plan, you can start learning the course. If you wish to purchase the course, you must pay the course fee.
Application Details
You're required to complete a registration form to join the Basic Recommender Systems certification course. In the registration form, enter details such as your complete name, email ID, and finally, set a suitable password. Then, hit the 'Join for Free' button.
The Syllabus
Videos
- Course overview and welcome by the instructor
- Welcome by the instructor - module overview
- Introduction to Recommender Systems
- Taxonomy of Recommender Systems
- Item-Content Matrix
- User-Rating Matrix
- Inferring Preferences
- Recap by the instructor
- Non-personalized Recommender Systems
- Global Effects
- Conclusions by the instructor
Readings
- Course Syllabus
- Credits & Acknowledgements
Practice Exercise
- Module 1 - Graded Assessment
Videos
- Welcome by the instructor - module overview
- Quality of Recommender Systems
- Quality Indicators
- Online Evaluation Techniques
- Offline Evaluation Techniques
- Dataset Partitioning
- Overfitting
- Recap by the instructor
- Error Metrics
- Classification Metrics
- Ranking Metrics
- Conclusions by the instructor
Practice Exercise
- Module 2 - Graded Assessment
Videos
- Welcome by the instructor - module overview
- Content-based Filtering
- Cosine Similarity
- Matrix Notation
- K-Nearest Neighbours
- Recap by the instructor
- Improving the ICM
- TF-IDF
- Conclusions by the instructor
Practice Exercise
- Module 3 - Graded Assessment
Videos
- Welcome by the instructor - module overview
- Collaborative Filtering
- User-based CF
- Recap by the instructor
- Item-based CF
- User-based vs. Item-based
- Model-based vs. Memory-based
- Recommendation as Association Rules
- Conclusions by the instructor
Practice Exercise
- Module 4 - Graded Assessment
Instructors
Polytechnic University of Milan, Milan Frequently Asked Questions (FAQ's)
Coursera allows you to earn unlimited certificates at the same time.
You can click on the ‘financial aid available’ option on the web page and complete an application form. You will get a notification if your application is approved.
Yes. You can complete the Basic Recommender Systems programme at your own speed and time as there are no fixed schedules.
No. The lessons will be in the English language along with English transcripts for better understanding.
Except for the graded content, you will only receive access to the course material.