Introduction of Machine Learning solutions in the organization

During the training, participants will learn the basics of Machine Learning that allow them to implement such a solutions in the organization.

Course objectives

Gaining the ability to manage the process of implementing solutions based on Machine Learning.

Benefits

Thanks to the training, the participant will be able to :

identify processes that can be optimized with Machine Learning
estimate the cost and return on investment of your Machine Learning solution
lead the Machine Learning implementation process

Training scope

Digital transformation – business consequences
When is it worth investing in Machine Learning? Scalability and algorithmization
Where to start? How to identify places where data-driven investment will bring the fastest and greatest growth?
Basic issues solved with Machine Learning
Overview of examples of usage models for solutions based on Machine Learning
Resources necessary to create ML solutions: data, people, computing power
Strategic decisions to be made: Inside the organization or outsourcing? Proof-of-concept or immediate solution?
Analysis of the profitability of introducing the ML solution
We do Machine Learning – a workshop based on a case study

Audience

Managers and specialists who would like to learn how to implement Machine Learning solutions in their organization.

Participation does not require machine learning knowledge.

Course objectives

Gaining the ability to manage the process of implementing solutions based on Machine Learning.

Benefits

Thanks to the training, the participant will be able to :

identify processes that can be optimized with Machine Learning
estimate the cost and return on investment of your Machine Learning solution
lead the Machine Learning implementation process

Training scope

Digital transformation – business consequences
When is it worth investing in Machine Learning? Scalability and algorithmization
Where to start? How to identify places where data-driven investment will bring the fastest and greatest growth?
Basic issues solved with Machine Learning
Overview of examples of usage models for solutions based on Machine Learning
Resources necessary to create ML solutions: data, people, computing power
Strategic decisions to be made: Inside the organization or outsourcing? Proof-of-concept or immediate solution?
Analysis of the profitability of introducing the ML solution
We do Machine Learning – a workshop based on a case study

Audience

Managers and specialists who would like to learn how to implement Machine Learning solutions in their organization.

Participation does not require machine learning knowledge.

The number of participants: 8-15 people

Duration: 2 days

Available language: PL / EN

Available course material: PL / EN

Course form

Presentation, lecture, discussion.

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Natalia & Agata

Training Practice Team

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Introduction of Machine Learning solutions in the organization

Course objectives

Benefits

Training scope

Audience

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