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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
짧고 간단하게 유지하세요. 개념에 대한 직관 및 시각적 모델 생성(의사결정 트리 그래프, 선형 방정식, y_pred를 수동으로 계산하여 모델 작동 방식 증명)
Machine Translated
ML을 이해하려는 목표를 달성하는 데 도움이 되었습니다. 이 주제에 대한 적절한 소개를 제공한 Pablo에게 깊은 존경심을 표합니다. 3일 간의 교육 후에 이 주제가 얼마나 광대한지 분명해지기 때문입니다. 나는 또한 귀하가 제공한 가상 머신에 대한 아이디어를 많이 즐겼으며 대기 시간이 매우 좋았습니다! 이를 통해 모든 쿠저가 자신의 속도에 맞춰 실험을 수행할 수 있었습니다.
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
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
트레이너는 자신이 주제에 대해 잘 이해하고 있음을 보여주었습니다.
Machine Translated
ML에 대한 훌륭한 소개였습니다!! 정말 모든 것이 마음에 들었습니다. 조직은 완벽했습니다. 강의/데모를 위한 적절한 시간과 우리끼리만 놀 수 있는 시간. 적절한 수준에서 많은 주제가 다루어졌습니다. 그는 또한 카메라를 켜지 않고도 우리의 참여를 유지하는 데 매우 능숙했습니다.
Machine Translated
질문에 대한 명확한 설명과 지식 있는 답변.
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.
Convolution filter
The way of transferring knowledge and the knowledge of the trainer.
흥미로운 지식
Machine Translated
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
트레이너는 거의 모든 주제와 상황을 처리할 수 있기 때문입니다.
Machine Translated
트레이너가 각 운동에 제공되는 개념, 긍정적이고 환영하는 태도 및 실제 사례를 설명하는 방식.
Machine Translated
훌륭한 문서와 연습이 포함된 매우 훌륭한 교육 세션이었으며 Kristian은 마치 전문가처럼 해냈습니다.
Machine Translated
The theoretical explanations
Machine learning, python, data manipulation
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
AI에 대한 Machine Learning, Neural Networks에 대한 개요를 실제 사례와 함께 살펴보았습니다.
Machine Translated
AI와의 마지막 날
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선정되어 우리와 공유되고 설명된 사례
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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.
