Our classroom is located in UB Tower - one of the four beautiful towers in UB City. Being centrally located in the CBD (Ce...
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.
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
We had an overview about Machine Learning, Neural Networks, AI with practical examples.
Last day with the AI
The examples that were picked, shared with us and explained
I really enjoyed the 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.