DS413
Industrial Machine Learning
Faculty
Emeli Dral
Chief Technical Officer & Co-founder at Evidently AI
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
The module covers topics related to industrial applications of machine learning. Nowadays, machine learning technologies are widely used in various fields such as retail, mass media, PR and marketing, banking, telecommunications, manufacturing, science and many others. Even though it is very important to use the appropriate methods in every project, often the choice of a particular machine learning algorithm does not play a key role. Most of the time, the most important factors are the appropriate formulation of the problem from the business point of view, the correct mathematical formalization of the problem, and an accurate assessment of the potential economic effect.
In the course, we will learn the structure and the lifecycle of the machine learning-based project and cover topics ranging from the problem statement definition to the final model quality assessment, as well as an estimation of the economic effect.
Learning highlights
- Identify cases where machine learning techniques should be applied
- Apply machine learning algorithms and techniques to the real-world applications
- Formulate problem statement and quality criteria
- Estimate the potential economic effect of the machine learning models
- Develop a demo stand for ML-based application
Course outline
15 classes
Course Introduction
Introduction into industrial machine learning.
Session 2
- Business goal vs Math problem statement.
Session 3
- Economic effect estimation.
- Data sample analysis and request .
Session 4
- Acceptance results of the model.
Session 5
- Project work: plan, team, timeline.
Session 6
- Model validation.
Session 7
- Case study: discounts optimization.
Session 8
- Experiment management: ML flow.
Session 9
- Workflow management: prefect, airflow.
Session 10
- Demo service development: streamlit
Session 11
- Online validation: AB-testing.
Session 12
- Additional topics.
Session 13
Batch & online ML model monitoring.
Session 14
Online validation: additional topics; Final test.
Session 15
Projects demonstration.
Course materials
Books
Prerequisites
General IT background
Programming Python
Python for Data Analysis (Pandas, Numpy, Scipy, Sklearn)
The Probability Theory and Mathematical Statistics
Time Series Analysis (basics)
Machine Learning (at least an introductory course)
Methodology
Each three-hour session will consist of a lecture and a seminar. During the course, students will learn basic concepts about applying machine learning algorithms and techniques to industrial problems, such as: churn prediction and prevention, demand prediction, recommender system developments, etc. In seminars, students will work on the problem statement, design of experiments and quality assessment, and model implementation and its economic effect estimation. Also, during the course students will develop a demo stand in teams.
Grading
Emeli Dral is a Co-founder and Chief Technology Officer at Evidently AI, a startup developing tools to analyse and monitor the performance of machine learning models.
Prior to that, she co-founded a startup focused on the application of machine learning in the industrial sector, and served as the Chief Data Scientist at Yandex Data Factory. She led a team of accomplished data scientists and oversaw the development of machine learning solutions for various industries - from banking to manufacturing. Emeli is a lecturer at the Yandex School of Data Analysis and Harbour.Space University, where she teaches courses on machine learning and data analysis tools. In addition, she is a co-author of the Machine Learning and Data Analysis curriculum at Coursera. In 2017, she co-founded Data Mining in Action, the largest open data science course in Russia with over 500 students in each batch.
See full profileApply for this course
Industrial Machine Learning
by Emeli Dral
Total hours
45 Hours
Dates
Jun 29 - Jul 17, 2026
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.