Machine Learning

Get new knowledge and strengthen your competencies in company with other data analysts.

Are you in charge of developing and implementing machine learning solutions in your organisation? 

The process of identifying the organizations’ challenges, translating the technical problem that needs solving and communicating the solution to users can be complex. 

IDAs peer group offers valuable insights for data scientists who work with optimization of machine learning models, finding, and testing algorithms and converting data to knowledge.

Share knowledge with like-minded machine learning specialists 

Even though your tasks are set inside the organization, you may not have many colleagues who can give you competent feedback on your work with machine learning. As a member of IDAs peer group, you gain insights into projects from other companies that can help better your own practices.

At the peer group meetings, you can get feedback on your data models and suggestions for improvement to optimize output. You will become part of productive discussions with likeminded professionals who understand your technical competencies and the need for communicative skills when a new product is embedded in the organization.

Price and information
  • IDA members: 
    4.975 DKK pr. year (exempt from VAT)
  • Non-members
    5.975 DKK pr. year (exempt from VAT)

The peer group

  • Max 15 members 
  • 5 meetings pr. year
  • The meetings are physical 
  • Themes and dates decided by the members
  • Professional peer group facilitator plans the meetings 

"I had a comprehensive project in mind, which I was actually advised against by the other group members. They believed that the gains were too small, and that I could do something simpler that could provide the same precision. I was very happy about their input."

Andreas Alberg-Fløjborg,
Data scientist in Fjernvarme Fyn and member of the peer group for machine learning

You choose the themes

Your interests serve as the foundation for the peer group, and you can contribute with ideas for subjects, cases or presentations that facilitate a constructive exchange of knowledge and experiences at the group meetings. Our tools are mentoring and discussion, case work and visits from external experts who can contribute with new insights and methods.

Examples of subjects you can discuss in the group

  • Quality control of models – also without knowing the data (e.g. if others are using the model)
  • Communication and matching expectations with users/clients
  • How to chose a model/family of algorithm
  • Best-practice: What works, and why?
  • Transparency in the model: cause analysis/mutual impact
  • Application of deep-learning/neural networks
  • Data quality
  • Software operationalisation and productionalisation
  • Platform architecture

Because you are all specialists, you can have discussions about very specific challenges related to machine learning. Your common professionalism ensures that valuable time is not lost on explaining models and algorithms.

"In IDAs Peer Groups, the agenda is dynamic. This makes it possible to reprioritize if an urgent challenge arises."

Marianne Ehlers,
Program Director of IDA Peer Groups
 

Link kopieret

Marianne Ehlers

Program Director of IDA Peer Groups

An investment for you and your employer

By becoming a member of an IDA Peer group, both you and your organization are investing in your continuous professional growth and competency development. The group members alternately host the meetings at their workplace, and the meetings are usually the duration of half a workday.  

Contact Marianne Ehlers, program director of IDA peer groups, if you have any questions about how a peer group membership can benefit you and your career – or if you have suggestions for a new peer group. New peer groups are continually created on the basis of demand.

Contact

IDA peer groups regularly arrange free webinars about the latest new knowledge within the field of machine learning.

Watch previous webinars and meet the program director of IDA peer groups, Marianne Ehlers, and the peer groups’ extern experts.

 

Læs mere

Kurser

Bliv klogere på data science

Hold dig opdateret på de nyeste værktøjer inden for data science. Bliv klogere på alt fra indsamling og datavask til visualieringer og modelleringer samt machine learning.

Se alle it-kurser