machine learning specialization

Machine Learning Specialization


Every day 2.5 quintillion bytes of data are created and 90% of all the data in the world has been created in the last two years. Data Science & A.I. helps your business make smarter decisions. With that in mind, Anchormen is organizing value-packed trainings for your employees.

The Machine Learning specializations will teach your team the essentials as well as use real-life cases in order to help activate your data. Duration of the training is 16 lessons in 5-hour sessions and takes place in one of our offices (Amsterdam, Groningen) or at your location.

The whole package costs a total of €7,500 per person and is coordinated for groups of 3-10 people.


The precise content of the training is decided based on a consultation with us. Every training is specially tailored based on the company’s needs and current level of subject matter understanding. Here are some of the topics you can expect to learn about:

  • Regression trees.
  • Neural networks.
  • Bayesian estimation.
  • Local models.
  • Support vector machines.
  • Ensemble models.
  • Evolutionary computation.
  • Dimensionality reduction.
  • Natural Language Processing.
  • Recommendation Engines.
  • Reinforcement Learning.


The focus of this training lies on the understanding and usage of a large amount of Machine Learning models. These models range from Support Vector Machines best used on numerical data to Natural Language Processing and from Recommendation Engines to Evolutionary techniques. After the 16 sessions that are planned for the students they will know how to apply these techniques to real data and use them to discover insights and predictions on the basis of your data.


Python will be the core programming language for the assignments. From the Python packages used the most important one is Scikit-learn, an open-source library where most of the taught are present, ready to be used by the students.

Are you interested in this training?

Fill out the form and we will contact you.