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Studies
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Studies
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The Institute
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Industrial Machine Learning

Barcelona Campus
Jul 06, 2020 - Jul 24, 2020
Learn the structure and the lifecycle of the machine learning project and cover topics ranging from the problem statement to final quality assessment, as well as estimation of the economic effect.
Barcelona Campus
Jul 06, 2020 - Jul 24, 2020
Emeli Dral

Faculty

Emeli Dral

Chief Technical Officer & Co-founder at Evidently AI

Course length

3 weeks

Duration

3 hours
per day

Total hours

45 hours

Credits

6 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

Big DataMachine LearningData ScienceArtificial Intelligence
OverviewCourse outlineCourse materialsPrerequisites

Overview

The module covers topics related to industrial applications of machine learning. Nowadays machine learning technologies are widely used in practice in various applied fields such as retail, mass media, PR and marketing, banking, telecommunications, manufacturing, science and many others. Using relevant techniques in each project is very important, but often selecting a particular machine learning algorithm does not play a key role. Frequently the most important factors include relevant problem statements in terms of business goals, correct mathematical formalisation of the problem, precise estimation of the potential economic effect, criteria and metrics of decision quality estimation, among others.

In the course, we will learn the structure and the lifecycle of the machine learning project and cover topics ranging from the problem statement to final quality assessment, as well as estimation of the economic effect.

Learning highlights

  • Identify cases where machine learning techniques should be applied
  • Apply machine learning algorithms and techniques to real world applications
  • Formulate problem statement and quality criteria
  • Estimate potential economic effect of the machine learning models

Course outline

15 classes

Dive into the details of the course and get a sense of what each class will cover.
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
1

Class 1

Course Introduction; Problem statement in data science

Tuesday
2

Class 2

Math problem statement based on business goal; Potential effect estimation

Wednesday
3

Class 3

Data sample request and pre-project analysis

Thursday
4

Class 4

Data Science project team

Friday
5

Class 5

Data Science project life cycle and project plan

Monday
6

Class 6

Case study: car insurance

Tuesday
7

Class 7

Case study: demand forecasting

Wednesday
8

Class 8

Case study: churn prediction

Thursday
9

Class 9

Time series analysis

Friday
10

Class 10

Case study: demand forecasting

Monday
11

Class 11

Case study: anomaly detection

Tuesday
12

Class 12

Data science project management

Wednesday
13

Class 13

ML-based service development

Thursday
14

Class 14

Common mistakes in machine learning projects

Friday
15

Class 15

Final Exam

Emeli Dral

Faculty

Emeli Dral

Chief Technical Officer & Co-founder at Evidently AI

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 profile

Apply for this course

Snap up your chance to enroll before all spaces fill up.

Industrial Machine Learning

by Emeli Dral

Total hours

45 Hours

Dates

Jul 06 - Jul 24, 2020

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.