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Il formatore ha dimostrato di avere una buona comprensione dell'argomento.
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È stata un'ottima introduzione a ML!! Mi è piaciuta l'intera faccenda, davvero. L'organizzazione è stata perfetta. La giusta quantità di tempo per le lezioni/demo e solo noi a giocare. Sono stati toccati molti argomenti, proprio al giusto livello. È stato anche molto bravo a tenerci super impegnati, anche senza che ci fosse alcuna telecamera accesa.
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Chiarezza di spiegazione e risposta competente alle domande.
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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.
Mantenerlo breve e semplice. Creazione di intuizioni e modelli visivi attorno ai concetti (grafico dell'albero decisionale, equazioni lineari, calcolo y_pred manualmente per dimostrare come funziona il modello).
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Mi ha aiutato a raggiungere il mio obiettivo di comprendere il ML. Molto rispetto per Pablo per aver dato un'introduzione adeguata a questo argomento, dal momento che diventa ovvio dopo 3 giorni di formazione quanto sia vasto questo argomento. Mi è anche piaciuta MOLTO l'idea delle macchine virtuali che hai fornito, che avevano un'ottima latenza! Ha permesso a ogni coursant di fare esperimenti al proprio ritmo.
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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 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.
Conoscenze interessanti
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The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
L'allenatore perché poteva gestire quasi tutti gli argomenti e le situazioni.
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Il modo in cui l'istruttore ha spiegato i concetti, il suo atteggiamento positivo e accogliente e gli esempi del mondo reale forniti per ogni esercizio.
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Ottima sessione di allenamento con una bella documentazione ed esercizi e Kristian l'ha fatto come un professionista qual è.
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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
