Artificial Intelligence (AI) Training Courses - Slovakia

He was very informative and helpful.

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.

Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.

The interactive part, tailored to our specific needs.

I did like the exercises.

I genuinely enjoyed the hands-on approach.

the scope of material

systematizing knowledge in the field of ML

The trainer was so knowledgeable and included areas I was interested in.

The topic is very interesting.

Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.

Topic. Very interesting!.

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 think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.

The global overview of deep learning.

The exercises are sufficiently practical and do not need high knowledge in Python to be done.

Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.

I really appreciated the crystal clear answers of Chris to our questions.

I generally enjoyed the knowledgeable trainer.

I was amazed at the standard of this class - I would say that it was university standard.

Very good all round overview. Good background into why Tensorflow operates as it does.

I liked the opportunities to ask questions and get more in depth explanations of the theory.

We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.

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.

I really enjoyed the coverage and depth of topics.

The trainer very easily explained difficult and advanced topics.

I liked the new insights in deep machine learning.

We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.

I mostly enjoyed the graphs in R :))).

The deep knowledge of the trainer about the topic.

Very updated approach or CPI (tensor flow, era, learn) to do machine learning.

Very flexible.

I generally enjoyed the flexibility.

Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for.

I was benefit from topic selection. Style of training. Practice orientation.

All like it

way of conducting and example given by the trainer

Possibility to discuss the proposed issues yourself

Communication with lecturers

like it all

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

This is one of the best hands-on with exercises programming courses I have ever taken.

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

a lot of exercises that I can directly use in my work.

Examples on real data.

neuralnet, pROC in a loop.

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

The content, as I found it very interesting and think it would help me in my final year at University.

I genuinely liked excercises

I liked the lab exercises.

The Jupyter notebook form, in which the training material is available

There were many exercises and interesting topics.

Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)

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.

Big and up-to-date knowledge of leading and practical application examples.

A lot of exercises, very good cooperation with the group.

work on colaborators,

It was obvious that the enthusiasts of the presented topics were leading. Used interesting examples during exercise.

A wide range of topics covered and substantial knowledge of the leaders.

Lack

Big theoretical and practical knowledge of the lecturers. Communicativeness of trainers. During the course, you could ask questions and get satisfactory answers.

Practical part, where we implemented algorithms. This allowed for a better understanding of the topic.

exercises and examples implemented on them

Examples and issues discussed.

Substantive knowledge, commitment, a passionate way of transferring knowledge. Practical examples after a theoretical lecture.

Practical exercises prepared by Mr. Maciej

The easy use of the VideoCapture functionality to acquire video images from laptop camera.

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

It was easy to follow.

Additional materials. Theoretical preparation.

Great knowledge of the teacher as well as the willingness and ability to share it. Inspiration to search for applications of artificial intelligence algorithms

I like examples to explain

the matter was well presented and in an orderly manner.

I was benefit from the passion to teach and focusing on making thing sensible.

It is one on one. I can ask a lot of question and also ask the trainner to repeat when I was not clear about some stuff.

Human identification and circuit board bad point detection

Demonstrate

About face area.

The informal exchanges we had during the lectures really helped me deepen my understanding of the subject

The trainer's patience

It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback

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).

Issues discussed, exercises carried out (examples), atmosphere of training, contact with the trainer, location.

A lot of practical tips

A lot of information related to the implementation of solutions

A multitude of practical tips and knowledge of the lecturer from a wide range of AI / IT / SQL / IoT issues.

the last day. generation part

The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.

I like that it focuses more on the how-to of the different text summarization methods

The remote classroom setting worked very well

Good detail on what R is used for and how to start using it right away

The many practical examples / assignments that we went through were great. For me, I learn better by seeing examples and applying them elsewhere. The use of real data and applying what was taught against it was extremely valuable. Michaels PowerPoint presentations and his ability to work through each solution was invaluable.

lots of information, all questions ansered, interesting examples

The exercises.

Practical exercises with R were very helpful.

This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.

It is one on one. I can ask a lot of question and also ask the trainner to repeat when I was not clear about some stuff.

I like that it focuses more on the how-to of the different text summarization methods