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Introduction to Recommendation Systems

star 4.25  Beginner level 0.75 learning hr 829 Learners

Introduction to Recommendation Systems

star 4.25  Beginner level 0.75 learning hr 829 Learners
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Overview of Recommendation System

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About this course

The science of recommendation systems exemplifies how technology streamlines these various decision-making processes for us. Recommendation systems take into account several statistics and machine-learning topics and allow you to build on them. In this course, we understand the broad perspective of the recommendation system. 

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Course outline

Recommendation System Introduction

Yelp Dataset

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Introduction to Recommendation Systems

rating icon 4.25

0.75 Hours

Beginner

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829 learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

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Reviewer Profile
Maha Lakshmi

5.0

★★★★ ★
India
“VERY USEFULLY FOR ME AND MORE UNDERSTANDLE ABOUT recommend system ”
### Short Feedback on Recommendation Systems **Strengths:** - Personalizes user experience, saving time. - Boosts sales and engagement for businesses. - Handles large data efficiently. **Weaknesses:** - Struggles with new users/items (cold start). - Can reinforce biases and reduce diversity. - Raises privacy concerns due to data reliance. **Improvements:** - Ensure diversity in recommendations. - Enhance transparency in how suggestions are made. - Address privacy and bias issues responsibly.
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Reviewer Profile
Pradip Patil

5.0

★★★★ ★
India
“"Comprehensive and Engaging Recommendation System Course"”
"I recently completed the Recommendation System course on Great Learning, and I must say it was an insightful and well-structured experience. The course offered a solid foundation in both the theory and practical aspects of building recommendation systems, with clear explanations and real-world examples. The hands-on projects helped reinforce the concepts, and I appreciated the diverse approaches covered, such as collaborative filtering and content-based filtering.
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Reviewer Profile
Leena Gavande

5.0

★★★★ ★
India
“Content and Instructor Were Good. Exactly What I Was Looking For.”
Quizzes and assignments are really helpful to learn the topic quickly.
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Reviewer Profile
Harshal Savakar Shewale

4.0

★★★ ★ ☆
India
“I recently completed the Recommendation System course on Great Learning, and I must say it was an excellent experience. The course was well-structured.”
What I liked most about the course was the clarity and simplicity with which complex concepts were explained. The step-by-step approach made it easy to understand even technical topics, and the practical examples helped solidify my learning.
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Reviewer Profile
Supriya Nagarkar

5.0

★★★★ ★
India
“easy to understand, can be done at own space ”
i really like doing these courses. First of all they are free. and one can do it at their own pace. looking forward for many of such courses.I really enjoyed taking your course. Even though this is not a major or subject I am pursuing, I really enjoyed getting to know more about recommendation system basics.
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Reviewer Profile
Yogesh Girase

5.0

★★★★ ★
India
“Recommenders at Work: The Science Behind Personalized Suggestions"”
Collaborative Filtering: User-based: Recommends items based on the preferences of similar users. Item-based: Suggests items similar to those the user has interacted with before. Content-Based Filtering: Recommends items similar to what the user has liked in the past based on item attributes (e.g., genre, category). Hybrid Systems: Combines multiple recommendation approaches (e.g., collaborative + content-based) to improve accuracy and mitigate the limitations of each method.
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Reviewer Profile
Bhagyashree Bhadane

5.0

★★★★ ★
India
“The course provided hands-on experience in building recommendation algorithms using real-world datasets, enhancing my practical skills”
I gained a deep understanding of recommendation systems, including collaborative filtering, content-based filtering, and hybrid approaches
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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Will I get a certificate after completing this Recommendation Systems free course?

Yes, you will get a certificate of completion for Recommendation Systems after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Recommendation Systems course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Recommendation Systems can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Recommendation Systems course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

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