Machine Learning Training in Alexandria

We had an overview about Machine Learning, Neural Networks, AI with practical examples.

Catalin - DB Global Technology SRL

Course - Machine Learning and Deep Learning

The trainer showed that he has a good understanding of the subject.

Marino - EQUS - The University of Queensland

Course - Machine Learning with Python – 2 Days

Keeping it short and simple. Creating intuition and visual models around the concepts (decision tree graph, linear equations, calculating y_pred manually to prove how the model works).

Nicolae - DB Global Technology

Course - Machine Learning

Interesting knowledge

Gabriel - MINDEF

Course - Machine Learning with Python – 4 Days

examples based on our data

Witold - P4 Sp. z o.o.

Course - Deep Learning for Telecom (with Python)

Fantastic training, one of the best I have ever attended! The moderator, Rafal, provided excellent answers to the issues raised and explained all the methods very thoroughly. JestI am very satisfied and will gladly take advantage of the training conducted by this trainer again.

Darek Paszkowski - Orange Szkolenia Sp. z o.o.

Machine Translated

The details and the presentation style.

Cristian Mititean - Accenture Industrial SS

Course - Azure Machine Learning (AML)

The structure from first principles, to case studies, to application.

Margaret Webb - Department of Jobs, Regions, and Precincts

Course - Introduction to Deep Learning

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts

Course - Artificial Neural Networks, Machine Learning, Deep Thinking

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL

Course - MLflow

The way of transferring knowledge and the knowledge of the trainer.

Jakub Rękas - Bitcomp Sp. z o.o.

Course - Machine Learning on iOS

I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.

Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life™

Course - Kubeflow

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski

Course - Applied AI from Scratch in Python

The enthusiasm to the topic. The examples he made an he explained it very well. Sympatic. A little to detailed for beginners. For managers, it could be more abstract in fewer days. But it was designed to fit and we had a good alignment in advance.

Benedikt Chiandetti - HDI Deutschland Bancassurance Kundenservice GmbH

Course - Machine Learning Concepts for Entrepreneurs and Managers

The theoretical explanations

Molatelo Tloubatla - University Of South Africa

Course - Data Science: Analysis and Presentation

Convolution filter

Francesco Ferrara

Course - Introduction to Machine Learning

Tomasz really know the information well and the course was well paced.

Raju Krishnamurthy - Google

Course - TensorFlow Extended (TFX)

Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain

Richard Blewett - Rock Solid Knowledge Ltd

Course - Machine Learning – Data science

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

Zaher Sharifi - GOSI

Course - Advanced Deep Learning

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

Sacha Nandlall

Course - Python for Advanced Machine Learning

Very flexible.

Frank Ueltzhöffer

Course - Artificial Neural Networks, Machine Learning and Deep Thinking

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

Paul Lee

Course - TensorFlow for Image Recognition

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

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

Mohamed Salama

Course - Data Mining & Machine Learning with R