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The details and the presentation style.
The Exercises
Working from first principles in a focused way, and moving to applying case studies within the same day
It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
The trainer was a professional in the subject field and related theory with application excellently
The trainer was so knowledgeable and included areas I was interested in.
Szkolenie rewelacyjne, jedno z najlepszych, na jakich bylem! Prowadzacy Rafal doskonale odpowiadal w zakresie poruuszanych zagadnien, bardzo dokladnie tlumaczyl wszystkie metody. Jestem bardzo zadowolony i chetnie ponownie skorzystam ze szkolenia prowadzonego przez tego szkoleniowca.
Rysunki na flipcharcie, całe szkolenie.
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 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 ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
The trainer showed that he has a good understanding of the subject.
It was a great intro to ML!! I liked the whole thing, really. The organization was perfect. The right amount of time for lectures/ demos and just us playing around. Lots of topics were touched, just at the right level. He was also very good at keeping us super engaged, even without any camera being on.
Clarity of explanation and knowledgeable response to questions.
The knowledge of the trainer was very high and the material was well prepared and organised.
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Convolution filter
The way of transferring knowledge and the knowledge of the trainer.
Interesting knowledge
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
The trainer because he could handle almost every subject and situation.
The manner in which the trainer explained the concepts, his positive and welcoming attitude and the real-world examples provided for each exercise.
Very good training session with nice documentation and exercises and Kristian did it like a professional he is.
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
I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).
It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
The structure from first principles, to case studies, to application.
The deep knowledge of the trainer about the topic.
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
I was benefit from the passion to teach and focusing on making thing sensible.
examples based on our data
code examples:-)
I liked that the instructor had many pre-written scripts to show off many different aspects of ML and AI. I really enjoyed being able to see live demos of so many ways ML and AI is being used. Much of what we covered was cutting edge technology that is still in its early stages of development.
The colab notebooks we get to keep
The clarity with which it was presented
We had an overview about Machine Learning, Neural Networks, AI with practical examples.
Last day with the AI
The examples that were picked, shared with us and explained
I really enjoyed the coverage and depth of topics.
The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Very good all round overview. Good background into why Tensorflow operates as it does.
I was amazed at the standard of this class - I would say that it was university standard.
I generally enjoyed the knowledgeable trainer.
I really appreciated the crystal clear answers of Chris to our questions.
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Tomasz really know the information well and the course was well paced.
