1. All topics
  2. Technology
  3. Artificial Intelligence (AI)
  4. Machine Learning
Machine Learning and AI Foundations: Recommendations Preview

Machine Learning and AI Foundations: Recommendations

With Adam Geitgey Liked by 2,995 users
Duration: 58m Skill level: Intermediate Released: 4/10/2017

Start my 1-month free trial Buy for my team

Course details

This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations. In this course, Adam Geitgey walks you through a hands-on lab building a recommendation system that is able to suggest similar products to customers based on past products they have reviewed or purchased. The system can also identify which products are similar to each other.

Recommendation systems are a key part of almost every modern consumer website. The systems help drive customer interaction and sales by helping customers discover products and services they might not ever find themselves. The course uses the free, open source tools Python 3.5, pandas, and numpy. By the end of the course, you'll be equipped to use machine learning yourself to solve recommendation problems. What you learn can then be directly applied to your own projects.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.5 out of 5

325 ratings
  • 5 star
    Current value: 221 68%
  • 4 star
    Current value: 76 23%
  • 3 star
    Current value: 18 6%
  • 2 star
    Current value: 4 1%
  • 1 star
    Current value: 6 2%
  • Bharat Dhungana Bharat Dhungana

    Bharat Dhungana

    Physicist | Aspiring Data Analyst | Enthusiastic | Technology Geek | Traveller | Bookworm | Social Activist | Influencer | Learner

    5/5 January 15, 2024
    This LinkedIn Learning course on building recommendation systems using Python 3.5, pandas, and numpy offers valuable, hands-on experience. Emphasizing project-based learning, it guides programmers in constructing recommendation systems that drive customer interaction on modern consumer websites. The course's use of free and open-source tools ensures accessibility, and the practical skills acquired can be directly applied to personal projects, making it an excellent resource for programmers seeking real-world, machine learning applications.
    Helpful · Report
  • Aaron Acierno Aaron Acierno

    Aaron Acierno

    Research and Development Engineer at Los Alamos National Laboratory

    4/5 October 2, 2023
    Interesting introduction and a solid overview to Machine Learning. I was hoping for at least a simple overview of matrix_factorization_utilities.py but the major mathematical techniques are covered well.
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Test your knowledge 8 quizzes
  • Learn on the go Access on tablet and phone

Similar courses

Download courses

Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.

Download on the App Store Get it on Google Play