Edifício Candelaria Corporate, 65 Candelaria Street, 16th Floor, Rio de Janeiro, Brazil, 20091-020
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7º andar, Humaitá, 275, Rio de Janeiro, Brazil, 22261-005
Av. José Silva de Azevedo Neto, 200 – BL 04 – Room 104 Rio de Janeiro, Rio de Janeiro, Brazil, 22775-056
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The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Exercises were nice
The manner in which the lessons were organized was terrific. Easy to understand, the trainer had plenty of patience and helped everyone
The explaination
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.
Many different examples and topics has been covered, from basic investigation to login management and dynamic page management.
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Subject presentation knowledge timing
Trainer develops training based on participant's pace
The trainer was a professional in the subject field and related theory with application excellently
The trainer was great! If he would have more time I think we could have learned a lot more.
1:1 very intensive but learnt a lot.
The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
I preferred the exercise and learning about the nooks and crannies of Python.
