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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources

Machine Learning

Barcelona Campus
Apr 29, 2019 - May 17, 2019
Machine learning has proven its applicability for wide range of applications such as web search, self-driving cars or speech recognition.
Barcelona Campus
Apr 29, 2019 - May 17, 2019
Sergey Khoroshenkikh

Faculty

Sergey Khoroshenkikh

Senior Software Engineer at Yandex

Course length

3 weeks

Duration

3 hours
per day

Total hours

45 hours

Credits

60 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

EntrepreneurshipBusiness StrategyManagementAlgorithmsBrand Strategy
OverviewCourse outlineCourse materialsPrerequisites

Overview

Machine learning has proven its applicability for wide range of applications such as web search, self-driving cars or speech recognition. For many real-world problems (consider, for example, image classification), the state-of-the-art solutions are learned from data instead of being implemented explicitly as computer programmes.

The course covers both theoretical foundations and practical techniques of machine learning. The former is based on preceding topics of overall Data Science programme curriculum: calculus, probability, linear algebra. The latter will be helpful in subsequent modules: Python for massive data analysis, Mapreduce (large-scale machine learning), Machine Learning – 2, Text Mining, Neural Networks.

Learning highlights

  • Recognise machine learning problems in real-world situations
  • Train and properly evaluate machine learning models on real data
  • Choose suitable machine learning algorithms for particular problems

Course outline

4 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

Session 1

Introduction

Tuesday
2

Session 2

Decision trees

Wednesday
3

Theory of learning-1

PAC-learning

Thursday
4

Session 4

Linear models

Prerequisites

This course is one of three in a wholistic series.

Students that have already taken MSL-111 and those with prior experience with HTML, CSS, and Javascript building simple web pages will be good candidates for this module.

Sergey Khoroshenkikh

Faculty

Sergey Khoroshenkikh

Senior Software Engineer at Yandex

Sergey Khoroshenkikh is a senior software engineer with eight years of experience in applied machine learning and data analysis. He graduated from the Moscow Institute of Physics and Technology in 2015. At Yandex, he has been working on large-scale machine learning solutions for web advertising as well as routing algorithms for Yandex Delivery.

Research/Academic Interests: Random graphs, complex networks

See full profile

Apply for this course

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

Machine Learning

by Sergey Khoroshenkikh

Total hours

45 Hours

Dates

Apr 29 - May 17, 2019

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.