Certified Specialist Programme in Feature Engineering for Recommender Systems

Tuesday, 10 June 2025 16:55:18

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

```html

Feature Engineering for Recommender Systems is a crucial skill for data scientists and machine learning engineers. This Certified Specialist Programme focuses on building high-performing recommender systems.


Learn advanced techniques in data preprocessing, feature scaling, and dimensionality reduction. Master creating effective features from various data sources like user interactions and product information. This program covers both collaborative filtering and content-based filtering techniques.


Improve the accuracy and efficiency of your recommender systems. Feature Engineering for Recommender Systems helps you build better, more personalized experiences. Enroll today and transform your skills!

```

```html

Feature Engineering for Recommender Systems: Become a Certified Specialist! This intensive program provides hands-on training in building high-performing recommendation engines. Master crucial techniques like dimensionality reduction and feature scaling, boosting your expertise in machine learning and data science. Gain practical experience with real-world datasets and cutting-edge algorithms. Boost your career prospects in data science, machine learning, or AI with this sought-after certification. Our unique curriculum blends theoretical foundations with practical application, ensuring you're job-ready. Become a sought-after expert in Recommender Systems and Feature Engineering.

```

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

• Feature Engineering for Recommender Systems: Fundamentals and Best Practices
• Data Preprocessing and Cleaning for Recommender Systems
• User and Item Feature Representation: Embeddings and Transformations
• Advanced Feature Engineering Techniques: Contextual and Sequential Features
• Feature Selection and Dimensionality Reduction for Recommender Systems
• Building Effective Feature Pipelines for Recommender Systems
• Evaluation Metrics and Feature Importance Analysis
• Handling Missing Data and Cold Start Problems in Recommender Systems
• Case Studies: Real-World Applications of Feature Engineering in Recommender Systems
• Feature Engineering for Specific Recommender System Types (e.g., collaborative filtering, content-based filtering)

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

40% Cheaper

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

Start Now

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.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Certified Specialist Programme: Feature Engineering for Recommender Systems - UK Job Market Insights

Unlock your potential in the booming field of Recommender Systems. This programme equips you with cutting-edge Feature Engineering skills highly sought after in the UK.

Career Role Description
Recommender Systems Engineer Design, develop, and deploy sophisticated recommendation engines using advanced feature engineering techniques. High demand for expertise in collaborative filtering and content-based filtering.
Machine Learning Engineer (Recommender Systems Focus) Build and optimize machine learning models specifically for recommendation systems. Strong emphasis on feature selection, transformation and engineering for improved model accuracy.
Data Scientist (Recommender Systems) Leverage data analysis and feature engineering skills to enhance the performance and personalization of recommendation algorithms. Deep understanding of A/B testing and model evaluation is crucial.

Key facts about Certified Specialist Programme in Feature Engineering for Recommender Systems

```html

The Certified Specialist Programme in Feature Engineering for Recommender Systems equips participants with the in-demand skills needed to build high-performing recommendation engines. This intensive program focuses on practical application and real-world case studies, making it highly relevant to the current job market.


Learning outcomes include mastering various feature engineering techniques specific to recommender systems, understanding different types of recommender systems (collaborative filtering, content-based filtering, hybrid approaches), and gaining proficiency in using relevant tools and libraries like Python's scikit-learn and pandas for data manipulation and model building. Participants will also learn to evaluate and optimize their engineered features for improved recommendation accuracy and user engagement. Expect to build a strong portfolio showcasing your newly acquired skills in feature engineering for recommender systems.


The programme duration is typically structured to accommodate busy professionals, often delivered through a flexible online format spanning several weeks or months depending on the specific course structure. The exact duration should be confirmed with the course provider.


Industry relevance is paramount. This Certified Specialist Programme in Feature Engineering for Recommender Systems directly addresses the growing need for skilled professionals in e-commerce, entertainment, advertising, and other sectors leveraging recommendation technologies. Graduates are well-prepared for roles such as Data Scientist, Machine Learning Engineer, or Recommender Systems Specialist, gaining a significant competitive advantage in a rapidly evolving field. The program covers techniques like dimensionality reduction, feature scaling and selection which are crucial for building robust recommender systems.


Successful completion leads to a valuable certification, demonstrating a high level of expertise in feature engineering and recommender systems. This credential strengthens your resume and showcases your commitment to professional development within the data science and machine learning domains. Data preprocessing and model evaluation are other aspects that are covered in detail.

```

Why this course?

Certified Specialist Programme in Feature Engineering for Recommender Systems is increasingly significant in today's UK market. The booming e-commerce sector and the rise of personalized online experiences have created a high demand for skilled professionals proficient in this area. According to a recent study (hypothetical data for illustrative purposes), approximately 70% of UK-based companies using recommender systems reported a need for improved feature engineering capabilities. This highlights a substantial skills gap.

Skill Demand
Feature Engineering High
Model Building Medium
Data Cleaning High

This Certified Specialist Programme directly addresses this industry need, equipping professionals with the advanced skills required for developing sophisticated recommender systems. Mastering feature engineering techniques, such as dimensionality reduction and feature selection, is crucial for building accurate and effective recommendation models, directly impacting business outcomes. The program's comprehensive curriculum ensures graduates are highly sought after, capable of optimizing existing systems and leading innovation in the field.

Who should enrol in Certified Specialist Programme in Feature Engineering for Recommender Systems?

Ideal Audience for the Certified Specialist Programme in Feature Engineering for Recommender Systems
This Certified Specialist Programme in Feature Engineering for Recommender Systems is perfect for data scientists, machine learning engineers, and analysts seeking to enhance their skills in building high-performing recommender systems. With over 1.5 million people working in the UK tech sector (source needed), the demand for experts in this field is rapidly growing. Those with experience in Python and a foundational understanding of machine learning algorithms will particularly benefit from this programme. The course's focus on practical application of feature engineering techniques, including feature selection, transformation, and creation, will allow you to build more effective recommendation models using techniques like collaborative filtering and content-based filtering. This specialised training will make you a highly sought-after candidate for roles involving advanced data analysis and model building.