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Treneren viste at han har god forståelse for emnet.
Machine Translated
Det var en flott intro til ML!! Jeg likte hele greia, egentlig. Organisasjonen var perfekt. Riktig tid til forelesninger/demoer og bare oss som leker. Mange temaer ble berørt, akkurat på riktig nivå. Han var også veldig flink til å holde oss superengasjerte, selv uten at noe kamera var på.
Machine Translated
Klarhet i forklaring og kunnskapsrik respons på spørsmål.
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.
Gjør det kort og enkelt. Lage intuisjon og visuelle modeller rundt konseptene (beslutningstregraf, lineære ligninger, beregne y_pred manuelt for å bevise hvordan modellen fungerer).
Machine Translated
Det hjalp meg å nå målet mitt om å forstå ML. Stor respekt for Pablo for å gi en skikkelig introduksjon i dette emnet, siden det blir tydelig etter 3 dagers trening hvor omfattende dette emnet er. Jeg har også hatt MYE glede av ideen om virtuelle maskiner du har levert, som hadde veldig god latenstid! Det tillot hver kursant å gjøre eksperimenter i sitt eget tempo.
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.
Interessant kunnskap
Machine Translated
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
Treneren fordi han kunne håndtere nesten alle emner og situasjoner.
Machine Translated
Måten som treneren forklarte konseptene, hans positive og imøtekommende holdning og de virkelige eksemplene gitt for hver øvelse.
Machine Translated
Veldig bra treningsøkt med fin dokumentasjon og øvelser og Kristian gjorde det som en profesjonell han er.
Machine Translated
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
