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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
Faire court et simple. Créer une intuition et des modèles visuels autour des concepts (arbre de décision, équations linéaires, calcul manuel de y_pred pour prouver le fonctionnement du modèle).
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Il m'a aidé à atteindre mon objectif de comprendre ML. J'ai beaucoup de respect pour Pablo pour avoir donné une introduction appropriée à ce sujet, car il devient évident après 3 jours de formation à quel point ce sujet est vaste. J'ai également beaucoup apprécié l'idée des machines virtuelles que vous avez fournies, qui avaient une très bonne latence ! Cela a permis à chaque participant de faire des expériences à son propre rythme.
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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
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
Le formateur a montré qu'il avait une bonne compréhension du sujet.
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C'était une excellente introduction au ML !! J'ai vraiment aimé tout cela. L'organisation était parfaite. Le temps nécessaire pour les conférences/démonstrations et juste pour jouer. Beaucoup de sujets ont été abordés, juste au bon niveau. Il était également très doué pour nous garder très engagés, même sans aucune caméra allumée.
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Clarté des explications et réponse compétente aux questions.
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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.
Convolution filter
The way of transferring knowledge and the knowledge of the trainer.
Des connaissances intéressantes
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The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
Very flexible
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
Nous avons eu une vue d'ensemble sur Machine Learning, Neural Networks, l'IA avec des exemples pratiques.
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Dernier jour avec l'IA
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Les exemples qui ont été choisis, partagés avec nous et expliqués
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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.
Very updated approach or api (tensorflow, kera, tflearn) to do machine learning
Tomasz really know the information well and the course was well paced.
