Machine Learning Training Courses

Ref material to use later was very good.

PAUL BEALES- Seagate Technology.

Course: Applied Machine Learning

What did you like the most about the training?: Gave me good practice with using R to build machine learning systems for real situations. I can use this in my work straight away. This was an excellent course. One of the best I have had.

Matthew Thomas - British Telecom

Course: Applied Machine Learning

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

Course: Artificial Neural Networks, Machine Learning, Deep Thinking

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

Mohamed Salama

Course: Data Mining & Machine Learning with R

The topic is very interesting.

Wojciech Baranowski

Course: Introduction to Deep Learning

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

Grzegorz Mianowski

Course: Introduction to Deep Learning

Topic. Very interesting!.

Piotr

Course: Introduction to Deep Learning

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.

Dolby Poland Sp. z o.o.

Course: Introduction to Deep Learning

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

Radek

Course: Introduction to Deep Learning

The global overview of deep learning.

Bruno Charbonnier

Course: Advanced Deep Learning

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

Alexandre GIRARD

Course: Advanced Deep Learning

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

Paul Kassis

Course: Advanced Deep Learning

The subject. It seemed interesting, but I left knowing not much more than before.

Radoslaw Labedzki

Course: Introduction to Deep Learning

I liked that this course had very interesting subject.

Wojciech Wilk

Course: Introduction to Deep Learning

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

Léo Dubus

Course: Neural Networks Fundamentals using TensorFlow as Example

I generally enjoyed the knowledgeable trainer.

Sridhar Voorakkara

Course: 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

Course: Neural Networks Fundamentals using TensorFlow as Example

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

Kieran Conboy

Course: 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

Course: Neural Networks Fundamentals using TensorFlow as Example

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

Sebastiaan Holman

Course: Machine Learning and Deep Learning

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.

Jean-Paul van Tillo

Course: Machine Learning and Deep Learning

I really enjoyed the coverage and depth of topics.

Anirban Basu

Course: Machine Learning and Deep Learning

The deep knowledge of the trainer about the topic.

Sebastian Görg

Course: Introduction to Deep Learning

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

Paul Lee

Course: TensorFlow for Image Recognition

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

Course: Neural Networks Fundamentals using TensorFlow as Example

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

Commerzbank AG

Course: Neural Networks Fundamentals using TensorFlow as Example

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

Sacha Nandlall

Course: Python for Advanced Machine Learning

Excercises

L M ERICSSON LIMITED

Course: Machine Learning

I liked the lab exercises.

Marcell Lorant - L M ERICSSON LIMITED

Course: Machine Learning

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

L M ERICSSON LIMITED

Course: Machine Learning

There were many exercises and interesting topics.

L M ERICSSON LIMITED

Course: 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

Course: 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

Course: Machine Learning

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

Zaher Sharifi - GOSI

Course: Advanced Deep Learning

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

Explore

Course: Deep Reinforcement Learning with Python

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

Kamila Begej - GE Medical Systems Polska Sp. Zoo

Course: 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

Course: Machine Learning – Data science

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

Course: Text Summarization with Python

lots of information, all questions ansered, interesting examples

A1 Telekom Austria AG

Course: Deep Learning for Telecom (with Python)

About face area.

中移物联网

Course: Deep Learning for NLP (Natural Language Processing)

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

Course: Text Summarization with Python