Hotel Nadmorski, Ejsmonda 2, Gdynia, Poland, 81-409
The training room is located just 3 kilometers from the PKP/PKS Station in Gdynia, making it easily accessible for participants traveling by train or bus. Additionally, it is only 400 meters away from the bus stop, facilitating access even for those using public transportation. It is equipped with necessary training tools such as a projector, screen, and flipchart, providing comfortable conditions for both participants and the trainer.
Hotel Fahrenheit, Grodzka 19, Gdańsk, Poland, 80-841
The training room is located in the very heart of the picturesque Gdansk Old Town, making the surroundings not only inspiring but also exceptionally attractive for participants. Within close proximity, you can find the railway and bus stations, facilitating arrival for those traveling by both train and bus. Additionally, the airport and port are also within reach, making this location convenient for individuals coming from distant places, both domestically and internationally.
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I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Drawings on a flipchart, the entire training.
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Great contact with participants, practical knowledge which is highly valued. Adjustment of pace / speed. A huge plus, a mega-positive instructor, it's a shame that the training lasted only 2 days.
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The clarity with which it was presented
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
The way of transferring knowledge and the knowledge of the trainer.
The explaination
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 level was high. The instructor was not afraid to use mathematical formalisms.
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The training was conducted in a very practical manner, and the pace was adjusted to the group.
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Practical examples, comprehensive answers to participants' questions, extensive knowledge, and experience
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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.
The trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.
Convolution filter
Tomasz really know the information well and the course was well paced.
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Method of knowledge transfer
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The trainer was a professional in the subject field and related theory with application excellently
Many practical tips
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The instructors have extensive theoretical and practical knowledge. The instructors are communicative. During the course, participants could ask questions and receive satisfying answers.
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In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
I liked the new insights in deep machine learning.
Trainer explained complex and advanced topics very clearly.
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We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.
