Formation Intelligence Artificielle en Waterloo

Le formateur a montré qu'il avait une bonne compréhension du sujet.

Marino - EQUS - The University of Queensland

Formation - Machine Learning with Python – 2 Days

Traduction automatique

exemples et exercices

Kamil

Formation - Introduction to Data Science and AI using Python

Traduction automatique

Faire court et simple. Créer une intuition et des modèles visuels autour des concepts (arbre de décision, équations linéaires, calcul manuel de y_pred pour prouver le fonctionnement du modèle).

Nicolae - DB Global Technology

Formation - Machine Learning

Traduction automatique

Des connaissances intéressantes

Gabriel - MINDEF

Formation - Machine Learning with Python – 4 Days

Traduction automatique

Toutes les informations présentées

Jose Victor - si

Formation - Artificial Intelligence (AI) for Managers

Traduction automatique

La formation était excellente, l'une des meilleures auxquelles j'ai assisté ! Rafal a été très réactif et a très bien expliqué toutes les méthodes. [Je suis très satisfait et je serais heureux de participer à nouveau.

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

Traduction automatique

The details and the presentation style.

Cristian Mititean - Accenture Industrial SS

Formation - Azure Machine Learning (AML)

All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.

Mathipa Chepape - Vodacom

Formation - Big Data Business Intelligence for Telecom and Communication Service Providers

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

Formation - Artificial Neural Networks, Machine Learning, Deep Thinking

It felt like we were going through directly relevant information at a good pace (i.e. no filler material)

Maggie Webb - Department of Jobs, Regions, and Precincts

Formation - Introduction to the use of neural networks

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

Guillaume GAUTIER - OLEA MEDICAL

Formation - MLflow

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

Jakub Rękas - Bitcomp Sp. z o.o.

Formation - 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™

Formation - Kubeflow

The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc

Formation - OptaPlanner in Practice

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

Formation - 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

Formation - Machine Learning Concepts for Entrepreneurs and Managers

Convolution filter

Francesco Ferrara

Formation - Introduction to Machine Learning

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

Formation - Machine Learning – Data science

The exercises.

Elena Velkova - CEED Bulgaria

Formation - Predictive Modelling with R

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

Hoss Shenassa - Trimac Management Services LP

Formation - Introduction to R with Time Series Analysis

Le contenu, car je l'ai trouvé très intéressant et je pense qu'il m'aidera dans ma dernière année d'études à l'université.

Krishan - NBrown Group

Formation - From Data to Decision with Big Data and Predictive Analytics

Traduction automatique

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

Laura Kahn

Formation - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

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

Sharon Ruane

Formation - Neural Networks Fundamentals using TensorFlow as Example

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

Mohamed Salama

Formation - Data Mining & Machine Learning with R

I did like the exercises.

Office for National Statistics

Formation - Natural Language Processing with Python