.jpg)
122 North 4th St., Bismarck, United States, 58501
Last Updated:
Hunter is fabulous, very engaging, extremely knowledgeable and personable. Very well done.
the VM is a nice idea
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
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 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
The trainer was a professional in the subject field and related theory with application excellently
It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
I liked the lab exercises.
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.
We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.
The global overview of deep learning.
The topic is very interesting.
Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.
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.
