Data Mining with Weka
14 hours
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.
Jonathan Blease [Artificial Neural Networks, Machine Learning, Deep Thinking]The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama [Data Mining & Machine Learning with R]The trainer very easily explained difficult and advanced topics.
Leszek K [Artificial Intelligence Overview]All like it
蒙 李 [Machine Learning Fundamentals with Python]Communication with lecturers
文欣 张 [Artificial Neural Networks, Machine Learning, Deep Thinking]like it all
lisa xie [Artificial Neural Networks, Machine Learning, Deep Thinking]I genuinely liked excercises
- L M ERICSSON LIMITED [Machine Learning]I liked the lab exercises.
Marcell Lorant - L M ERICSSON LIMITED [Machine Learning]The Jupyter notebook form, in which the training material is available
- L M ERICSSON LIMITED [Machine Learning]There were many exercises and interesting topics.
- L M ERICSSON LIMITED [Machine Learning]Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
- L M ERICSSON LIMITED [Machine Learning]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.
Attila Nagy - L M ERICSSON LIMITED [Machine Learning]It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
Kamila Begej - GE Medical Systems Polska Sp. Zoo [Machine Learning – Data science]I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).
Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo [Machine Learning – Data science]Issues discussed, exercises carried out (examples), atmosphere of training, contact with the trainer, location.
- Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu [Octave nie tylko dla programistów]I like that it focuses more on the how-to of the different text summarization methods
[Text Summarization with Python]
Bartosz Matuszek - Weegree Sp. z o.o. S.K.
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Filip Derenowski - Weegree Sp. z o.o. S.K.
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- Weegree Sp. z o.o. S.K.
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- Weegree Sp. z o.o. S.K.
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The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum [Applied AI from Scratch in Python]Ewa has a passion for the subject and a huge wealth of knowledge. She impressed all of us with her knowledge and kept us all focused through the day.
Rock Solid Knowledge Ltd [Machine Learning – Data science]Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
Richard Blewett - Rock Solid Knowledge Ltd [Machine Learning – Data science]So much breadth and topics covered. I felt it was a huge subject to try and cover in 3 days - the trainer did what they could to cover everything almost exactly on time!
Rock Solid Knowledge Ltd [Machine Learning – Data science]
EduBroker Sp. z o.o.
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- EduBroker Sp. z o.o.
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- EduBroker Sp. z o.o.
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Adjusting to our needs
Sumitomo Mitsui Finance and Leasing Company, Limited [Kubeflow]
INTELLIGENT HIVES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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INTELLIGENT HIVES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
[Machine Learning – Data science]
NetWorkS! Sp. z o.o.
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Adam Borowski - NetWorkS! Sp. z o.o.
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NetWorkS! Sp. z o.o.
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NetWorkS! Sp. z o.o.
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NetWorkS! Sp. z o.o.
[AI Awareness for Telecom]
NetWorkS! Sp. z o.o.
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Orange Szkolenia sp. z o.o.
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Orange Szkolenia sp. z o.o.
[Fundamentals of Artificial Intelligence and Machine Learning]
Orange Szkolenia sp. z o.o.
[Fundamentals of Artificial Intelligence and Machine Learning]
Orange Szkolenia sp. z o.o.
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convolution filter
Francesco Ferrara - Inpeco SpA [Introduction to Machine Learning]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.
Benedikt Chiandetti - HDI Deutschland Bancassurance Kundenservice GmbH [Machine Learning Concepts for Entrepreneurs and Managers]
Fujitsu Technology Solutions Sp. z o.o.
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Fujitsu Technology Solutions Sp. z o.o.
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Fujitsu Technology Solutions Sp. z o.o.
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Fujitsu Technology Solutions Sp. z o.o.
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Fujitsu Technology Solutions Sp. z o.o.
[Artificial Intelligence Overview]
I like that it focuses more on the how-to of the different text summarization methods
[Text Summarization with Python]