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Machine Learning & Data Mining using Python

Maastricht School of Management - MSM
6 days
Full time
Diploma / certificate
Scholarships available
On campus
29 June 2020
850 EUR

Program description

Machine Learning & Data Mining using Python

This 6-day course will familiarize participants with Machine Learning and Data Mining algorithms using the Python programming language. You will learn to recognize the correct machine learning approach for a given problem; furthermore, participants will learn how to implement several different algorithms. Finally, towards the end of the course we will introduce more advance machine learning topics and methodologies for combining several approaches to solve specialized problems. The lab classes will use the Python programming language and public data sets. The solutions to the exercises can easily be transferred to other programming languages such as R or Octave.

Reasons to follow this course:

  • Recognize the correct machine learning approach for a given problem
  • Learn how to apply several different algorithms
  • Join the lab classes using Python and public data sets
  • Study together with researchers and practitioners from around the world

Admission requirements

The program targets:

  • Academics
  • Professionals
  • PhD Students/DBA students
  • Post-Doctoral students
  • Post-graduates students

Participants should be familiar with programming. No prior knowledge of the Python programming language is necessary. Also participants need to know basic statistics. The course is appropriate for doctoral students and researchers that want to use Machine Learning and Data Mining techniques.

Application documents:

  • CV
  • Visa

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Program content

The 6-day course will focus on the following areas: 

  • Introduction to Machine Learning
  • Regression
  • Classification
  • Clustering
  • Dimensionality Reduction
  • Graphical Models

Scholarships & funding

Please visit the institute website for more information about scholarships.



Certificate of Attendance

Learning outcomes:

  • Understand the principles of Machine Learning and Data Mining
  • Being able to apply Regression algorithms
  • Being able to apply Classification algorithms
  • Being able to apply Clustering algorithms
  • Familiarize with Artificial Neural Networks, Support Vector Machines and Graphical Models

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About this institute

Maastricht School of Management - MSM  Logo

Welcome to Maastricht School of Management!

Maastricht School of Management (MSM) is one of the oldest and most international business schools in the Netherlands with a large network of students, alumni and partners across the globe. MSM offers internationally accredited MBA programs - full-time MBA, part-time...

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Why study at Maastricht School of Management - MSM

Diverse network

Studying in one of MSM’s management programs means you will share your study experience with fellow participants from many countries, professional backgrounds and areas of interest. Being part of such a diverse community offers you the opportunity to significantly expand your international network and to learn from your fellow participants by exchanging knowledge and experience.

Personal approach

As a boutique-styled and personally oriented business school, MSM provides you with a high service level throughout your study experience. Our dedicated faculty and staff are highly committed to contribute to your academic, professional and personal success.

As a fast-moving and market-focused institute, MSM is continuously adapting its teaching content and program offering to the specific management and leadership needs in the market.

At MSM, we also take your career development seriously and offer you a special optional Career and Personal Development Track as part of our Master and MBA programs.

Contact info

Maastricht School of Management - MSM

Endepolsdomein 150
6229 Maastricht

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Request information

Want to know more about Machine Learning & Data Mining using Python? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.


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