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The trainer showed that he has a good understanding of the subject.
examples and exercises
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Keeping it short and simple. Creating intuition and visual models around the concepts (decision tree graph, linear equations, calculating y_pred manually to prove how the model works).
Interesting knowledge
All the information presented
Fantastic training, one of the best I have ever attended! The moderator, Rafal, provided excellent answers to the issues raised and explained all the methods very thoroughly. JestI am very satisfied and will gladly take advantage of the training conducted by this trainer again.
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The details and the presentation style.
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Working from first principles in a focused way, and moving to applying case studies within the same day
It felt like we were going through directly relevant information at a good pace (i.e. no filler material)
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
The way of transferring knowledge and the knowledge of the trainer.
I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
The enthusiasm to the topic. The examples he made an he explained it very well. Sympatic. A little to detailed for beginners. For managers, it could be more abstract in fewer days. But it was designed to fit and we had a good alignment in advance.
Convolution filter
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
The exercises.
Good detail on what R is used for and how to start using it right away
The content, as I found it very interesting and think it would help me in my final year at University.
This is one of the best hands-on with exercises programming courses I have ever taken.
I liked the opportunities to ask questions and get more in depth explanations of the theory.
The trainer was so knowledgeable and included areas I was interested in.
I did like the exercises.
