Convolution filter
O formador mostrou que tem um bom conhecimento do assunto.
Machine Translated
Foi uma ótima introdução ao ML!! Eu gostei de tudo, de verdade. A organização foi perfeita. A quantidade certa de tempo para palestras/demos e apenas para nós brincarmos. Muitos tópicos foram abordados, no nível certo. Ele também foi muito bom em nos manter super engajados, mesmo sem nenhuma câmera ligada.
Machine Translated
Clareza de explicação e resposta bem informada às perguntas.
Machine Translated
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.
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.
Manter a informação curta e simples. Criar intuição e modelos visuais em torno dos conceitos (gráfico de árvore de decisão, equações lineares, cálculo manual de y_pred para provar como o modelo funciona).
Machine Translated
Ajudou-me a atingir o meu objetivo de compreender o ML. Tenho muito respeito pelo Pablo por ter dado uma introdução adequada a este tópico, uma vez que se torna óbvio após 3 dias de formação o quão vasto é este tópico. Também gostei MUITO da ideia das máquinas virtuais que forneceu, que tinham uma latência muito boa! Permitiu que cada formando fizesse experiências ao seu próprio ritmo.
Machine Translated
The way practical part, seeing the theory materializing into something practical is great.
It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.
I liked the lab exercises.
The trainer was so knowledgeable and included areas I was interested in
The theoretical explanations
Machine learning, python, data manipulation
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.
Conhecimentos interessantes
Machine Translated
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
The way of transferring knowledge and the knowledge of the trainer.
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
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 details and the presentation style.
The Exercises
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose