Artificial Intelligence in Automotive

  14 hours

Artificial Intelligence Overview

  7 hours

From Zero to AI

  35 hours

Applied AI from Scratch in Python

  28 hours

Applied Machine Learning

  14 hours

Encog: Advanced Machine Learning

  14 hours

Encog: Introduction to Machine Learning

  14 hours

Recommender Systems with Python

  14 hours

Snorkel: Rapidly Process Training Data

  7 hours

Artificial Neural Networks, Machine Learning, Deep Thinking

  21 hours

Deep Reinforcement Learning with Python

  21 hours

Introduction Deep Learning and Neural Network for Engineers

  21 hours

Matlab for Deep Learning

  14 hours

Microsoft Cognitive Toolkit 2.x

  21 hours

Neural computing – Data science

  14 hours

Applied AI from Scratch

  28 hours

Neural Networks Fundamentals using TensorFlow as Example

  28 hours

TPU Programming: Building Neural Network Applications on Tensor Processing Units

  7 hours

Understanding Deep Neural Networks

  35 hours

Deep Learning Neural Networks with Chainer

  14 hours

Pattern Recognition

  21 hours

Artificial Intelligence for Mechatronics

  21 hours

Introduction to the use of neural networks

  7 hours

PaddlePaddle

  21 hours

Neural Network in R

  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]

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.

Gudrun Bickelq [Introduction to the use of neural networks]

The interactive part, tailored to our specific needs.

Thomas Stocker [Introduction to the use of neural networks]

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

Léo Dubus [Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple]

I generally enjoyed the knowledgeable trainer.

Sridhar Voorakkara [Neural Networks Fundamentals using TensorFlow as Example]

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

David Relihan [Neural Networks Fundamentals using TensorFlow as Example]

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

Kieran Conboy [Neural Networks Fundamentals using TensorFlow as Example]

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

Sharon Ruane [Neural Networks Fundamentals using TensorFlow as Example]

I liked the new insights in deep machine learning.

Josip Arneric [Neural Network in R]

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.

Tea Poklepovic [Neural Network in R]

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

Faculty of Economics and Business Zagreb [Neural Network in R]

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

Commerzbank AG [Neural Networks Fundamentals using TensorFlow as Example]

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

Commerzbank AG [Neural Networks Fundamentals using TensorFlow as Example]

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

- Explore [Deep Reinforcement Learning with Python]

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]

The trainer very easily explained difficult and advanced topics.

Leszek K [Artificial Intelligence Overview]

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]

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

Alior Bank S.A. [Sieci Neuronowe w R]

Examples on real data.

Alior Bank S.A. [Sieci Neuronowe w R]

neuralnet, pROC in a loop.

Alior Bank S.A. [Sieci Neuronowe w R]

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

- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]

Lack

- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]

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

Kamil Kurek - ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]

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

- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]

exercises and examples implemented on them

Paweł Orzechowski - ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]

Examples and issues discussed.

- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]

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

Janusz Chrobot - ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]

Practical exercises prepared by Mr. Maciej

- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]





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