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.
Machine Learning and AI Foundations: Recommendations
Med Adam Geitgey
Gillas av 2 995 användare
Längd: 58m
Kompetensnivå: Medel
Släpptes: 2017-04-10
Kursinformation
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.
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.
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Bharat Dhungana
Bharat Dhungana
Physicist | Aspiring Data Analyst | Enthusiastic | Technology Geek | Traveller | Bookworm | Social Activist | Influencer | Learner
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