Assessment mode Assignments or Quiz
Tutor support available
International Students can apply Students from over 90 countries
Flexible study Study anytime, from anywhere

Overview

Global Certificate Course in Feature Engineering for Recommender Systems

Join our comprehensive online training program designed to equip data scientists and machine learning enthusiasts with the essential skills in feature engineering for recommender systems. Understand the foundational concepts and advanced techniques required to build powerful recommendation algorithms. Whether you are a professional looking to enhance your expertise or a student aiming to enter the field of machine learning, this course is perfect for you. Take the next step in your career and enroll today!

Feature Engineering for Recommender Systems is essential for any data science training. Dive into this Global Certificate Course to master the art of creating powerful recommendation engines. With a focus on machine learning training and data analysis skills, this course offers hands-on projects and real-world examples to enhance your practical skills. Enjoy self-paced learning and personalized feedback from industry experts. Elevate your career with in-demand skills in feature engineering and excel in building cutting-edge recommender systems. Enroll now to unlock a world of opportunities in the data science realm.
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Course structure

• Introduction to Feature Engineering for Recommender Systems
• Data Preprocessing and Cleaning Techniques
• Feature Selection and Dimensionality Reduction Methods
• Embeddings and Representation Learning for Recommender Systems
• Collaborative Filtering and Matrix Factorization
• Content-Based Filtering and Hybrid Recommender Systems
• Evaluation Metrics for Recommender Systems
• Handling Cold Start Problem in Recommender Systems
• Deep Learning Models for Feature Engineering in Recommender Systems
• Case Studies and Real-World Applications of Recommender Systems

Duration

The programme is available in two duration modes:

Fast track - 1 month

Standard mode - 2 months

Course fee

The fee for the programme is as follows:

Fast track - 1 month: £140

Standard mode - 2 months: £90

Master the art of Feature Engineering for Recommender Systems with our Global Certificate Course. Through this program, you will learn to extract insights from data, create effective recommendation algorithms, and optimize system performance. The course is designed to enhance your skills in Python programming, data analysis, and machine learning techniques.


The duration of this self-paced course is 8 weeks, allowing you to learn at your own convenience. Whether you are a seasoned data scientist looking to specialize in recommender systems or a beginner eager to explore this field, this course caters to learners of all levels. By the end of the program, you will have a comprehensive understanding of feature engineering and its applications in building robust recommender systems.


This certificate course is aligned with current trends in the industry, ensuring that you acquire relevant skills that are in-demand. With the increasing focus on personalized recommendations in e-commerce, entertainment, and social media platforms, expertise in feature engineering for recommender systems is highly valuable. Stay ahead of the curve and enhance your career prospects with this cutting-edge training.

Year Percentage of UK businesses facing cybersecurity threats
2018 87%
2019 91%
2020 95%
The Global Certificate Course in Feature Engineering for Recommender Systems plays a crucial role in today's market, especially with the increasing importance of personalized recommendations in various industries. With 87% of UK businesses facing cybersecurity threats in 2018, the need for professionals with advanced ethical hacking and cyber defense skills has never been greater. By enrolling in this course, learners can gain expertise in developing cutting-edge recommender systems that can enhance user experience and drive business growth. Stay ahead of the competition and meet industry demands by mastering feature engineering techniques tailored for recommender systems. Don't miss this opportunity to boost your career and make a significant impact in the rapidly evolving digital landscape.

Career path