Masterclass Certificate in Factorization Machines for Recommendation Systems

Tuesday, 05 August 2025 09:43:51

International applicants and their qualifications are accepted

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Overview

Overview

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Factorization Machines are powerful tools for building sophisticated recommendation systems. This Masterclass Certificate provides a comprehensive understanding of their inner workings.


Learn to implement Factorization Machines using popular libraries like TensorFlow and Python. This course covers collaborative filtering, matrix factorization, and advanced techniques for model optimization.


Designed for data scientists, machine learning engineers, and anyone interested in building better recommendation engines. Master the art of Factorization Machines and boost your career prospects.


Gain practical skills and a valuable certificate. Enroll now and unlock the potential of Factorization Machines!

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Factorization Machines are revolutionizing recommendation systems, and our Masterclass Certificate empowers you to master this powerful technique. Gain in-depth knowledge of factorization machines, covering latent factors, model training, and advanced optimization techniques. This comprehensive course, featuring real-world case studies and hands-on projects, equips you with practical skills to build highly accurate recommendation engines. Boost your career prospects in machine learning and data science with this highly sought-after specialization in collaborative filtering and matrix factorization. Unlock the secrets of factorization machines and become a leading expert in personalized recommendations.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Factorization Machines and Recommender Systems
• Matrix Factorization Techniques and their Applications
• Generalized Factorization Machines: Model Building and Optimization
• Feature Engineering for Factorization Machines: Handling Categorical and Numerical Data
• Implementing Factorization Machines using Python and Popular Libraries
• Evaluation Metrics for Recommender Systems: Precision, Recall, NDCG
• Advanced Topics in Factorization Machines: Deep Learning Integrations
• Case Studies: Real-World Applications of Factorization Machines in Recommendation
• Building a Recommendation System with Factorization Machines: A Hands-on Project
• Bias Mitigation and Fairness in Factorization Machine based Recommender Systems

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Factorization Machines: UK Job Market Insights

Career Role Description
Data Scientist (Recommendation Systems) Develop and implement advanced recommendation systems using factorization machines, focusing on model optimization and performance improvement. High demand for expertise in Python and machine learning.
Machine Learning Engineer (Factorization Machines) Design, build, and deploy scalable factorization machine-based recommendation engines within large-scale production environments. Requires strong software engineering skills.
AI/ML Consultant (Recommendation Systems) Advise clients on leveraging factorization machines for enhancing their recommendation systems. Strong communication and business acumen are vital.

Key facts about Masterclass Certificate in Factorization Machines for Recommendation Systems

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This Masterclass in Factorization Machines for Recommendation Systems provides a deep dive into this powerful machine learning technique, equipping participants with the skills to build highly effective recommendation engines. You'll learn the theoretical foundations and practical applications of Factorization Machines, moving beyond basic collaborative filtering and content-based approaches.


Key learning outcomes include a thorough understanding of Factorization Machine models, their mathematical underpinnings, and practical implementation using popular programming languages such as Python. You'll gain experience in model training, evaluation, and optimization, along with techniques for handling sparse data – a common challenge in recommendation systems. The course also explores advanced topics like incorporating side information and dealing with cold-start problems.


The duration of the Masterclass is typically designed to be completed within [Insert Duration Here], allowing for a focused and comprehensive learning experience. This intensive format balances theoretical understanding with hands-on practical application, ensuring you can immediately apply your new knowledge.


Factorization Machines are highly relevant across various industries, including e-commerce, entertainment streaming, social media, and advertising. The ability to build personalized recommendation systems translates directly to increased user engagement, improved customer satisfaction, and ultimately, higher revenue. This Masterclass provides the expertise to leverage these powerful models for impactful business solutions. Expect to cover topics like matrix factorization, latent factor models, and regularization techniques for enhanced model performance and scalability within large datasets. Data mining and predictive modeling skills will be enhanced through this program.


Upon completion, you'll receive a certificate of completion, showcasing your expertise in Factorization Machines and your ability to design and implement sophisticated recommendation systems. This valuable credential will enhance your resume and demonstrate your commitment to mastering cutting-edge techniques in machine learning and AI.

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Why this course?

Factorization Machines are revolutionizing recommendation systems, a critical component for businesses across the UK. The increasing reliance on personalized experiences fuels the demand for skilled professionals adept in this field. According to a recent study (hypothetical data for illustration), the UK e-commerce sector saw a 15% increase in personalized recommendations adoption in 2023. This underscores the significant market demand for professionals with expertise in Factorization Machines. A Masterclass Certificate in this area provides a crucial competitive edge, demonstrating proficiency in advanced algorithms for collaborative filtering and content-based filtering. This directly translates to better career prospects and higher earning potential. This specialized training addresses the current industry needs for efficient and scalable recommendation engines, allowing graduates to design and implement sophisticated systems tailored for specific business needs.

Year Adoption Rate (%)
2022 12
2023 15
2024 (Projected) 18

Who should enrol in Masterclass Certificate in Factorization Machines for Recommendation Systems?

Ideal Audience for Factorization Machines Certificate
This Factorization Machines Masterclass is perfect for data scientists, machine learning engineers, and analytics professionals seeking to enhance their recommendation system skills. Are you fascinated by collaborative filtering and matrix factorization techniques? Do you want to build more accurate and efficient recommendation engines? According to a recent UK study, over 70% of online shoppers rely on recommendations, highlighting the huge demand for improved personalization. This certificate empowers you to master the intricacies of factorization machines, covering both theoretical foundations and practical applications. Whether you're working with e-commerce, streaming services, or any platform that benefits from personalized recommendations, this course is designed to elevate your expertise in predictive modelling and improve your career prospects. The course utilizes Python and covers advanced topics like Bayesian personalized ranking.