Machine & Deep Learning Online LIVE Bootcamp: Building Recommender System

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Beyond machine and Datalyst Academy are presenting you with a unique Bootcamp.

Machine Learning & Deep Learning Bootcamp: Building Recommender System
Instructed by Dr. Stylianos Kampakis

Do you want to learn how to build a recommender system?

Are you a company that is looking to implement a recommender system, but you are not sure where to start?

Do you have a ready-made recommender system, but you want to start to build one from in-house?

This course will teach you how!

The course is designed for the students to learn at their own pace.

We offer pre-recorded class but also a live session for participants to ask questions and present their own projects.

What am I going to get from this course?

  • What are recommendation engines

  • How does a recommendation engine work?

  • Data collection and data storage

  • Filtering the data

  • Content-based filtering and Collaborative filtering

  • The case study in Python using the public dataset

  • Building a collaborative filtering model from scratch

  • Building Simple popularity and collaborative filtering model

  • Building a recommendation engine

  • Evaluation metrics for recommendation engines

How is the course structured?

The course is done in partnership with Datalyst Academy: a data science Bootcamp platform
that combines the best approaches from online learning, offline learning, university courses,
Bootcamps and workshops.

The course is structured as follows:

Once you have purchased the ticket:

1) You will receive the pre-recorded online course and participants will be introduced to basic machine learning concepts of the recommender system.

2) There will be a 1. 5 hours introductory live Bootcamp

3) Discord Chat Support: Once the participants finish with the content, they will start working on the lab. They have 3 weeks to complete the lab. During this process, the participants will be mentored by the instructor, through our Discord channel and Zoom (if needed)

4) Coaching: 1.5-hour final LIVE REAL-TIME Bootcamp on Zoom to present your final work and can discuss all the obstacles and questions you might have with the trainer directly.


Module 1: Evaluating Recommender Systems

Module 2: A Recommender Engine Framework

Module 3: Content-Based Filtering

Module 4: Neighbourhood-Based Collaborative Filtering

Module 5: Matrix Factorization Methods

Module 6: Introduction to Deep Learning

Module 7: Deep Learning For Recommender Systems and scaling up

Who should attend?

  • Data scientist who wants robust or learn more different applications

  • Data Analyst: Companies who would like to offer re-education to their analytics team to their data science team or just upgrade yourself from analyst to data scientist.

  • Developer, who wants to know more about the algorithm or even think about switching to the data scientist

  • Business Intelligence (BI): You are already familiar with statistics, want to understand better machine learning and deep learning


Stylianos' provided well-prepared, comprehensive course materials and code, and his explanations were clear and concise. The format and small group size allowed everyone to get involved and productively discuss the topics. Overall the recommender Bootcamp was well-organized, highly informative, and very enjoyable.
Dónal Flanagan, Machine Learning Engineer, Solvemate GmbH.

What will participants need to know or do before starting this course?

This course is ideal for the analyst, junior data scientist, and BI also developer. A bit of
knowledge of Python or machine learning will help you but it is not required. Have some
familiarity with basic programming concepts or languages or statistics. Therefore, experience in
Python or Machine Learning is not required but will help.

If you are not sure about your level, write to

What does the price reflect?

The price reflects two things. First, it distills 10+ years of experience in a few hours, providing only the
most relevant pieces of knowledge, without all the useless jargon and the buzzwords. Secondly, it
reflects the consultancy service in which participants will get out of the workshop, and which is usually
charged at much higher rates.

By purchasing the ticket you agree to the term and condition on our website:

¹ Dr. Stylianos Kampakis is an expert data scientist (with a decade of experience), member of the
Royal Statistical Society, an honorary research fellow at the UCL Centre for Blockchain
Technologies and startup consultant living and working in London. A natural polymath, with degrees
in Psychology, Artificial Intelligence, Statistics, Economics and a Ph.D. in Computer Science
from University College London he loves using his broad skillset to solve difficult problems. You can
learn more about his work at

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