Formation Machine Learning en France
En ligne ou sur site, des cours de formation en direct sur l'apprentissage automatique (ML) animés par un instructeur démontrent, par le biais d'une pratique pratique, comment appliquer des techniques et des outils d'apprentissage automatique pour résoudre des problèmes du monde réel dans diverses industries. Les cours NobleProg ML couvrent différents langages et frameworks de programmation, y compris Python, le langage R et Matlab. Les cours d'apprentissage automatique sont proposés pour un certain nombre d'applications industrielles, notamment la finance, la banque et l'assurance, et couvrent les principes fondamentaux de l'apprentissage automatique ainsi que des approches plus avancées telles que l'apprentissage en profondeur. La formation Machine Learning est disponible en tant que "formation en direct en ligne" ou "formation en direct sur site". La formation en direct en ligne (alias « formation en direct à distance ») est effectuée au moyen d'un ordinateur de bureau interactif à distance . La formation en direct sur site peut être effectuée localement dans les locaux du client en France ou dans les centres de formation d'entreprise NobleProg en France. NobleProg - Votre fournisseur de formation local
Découvrez nos formations
Introduction to Pre-trained Models
14 HeuresOptimizing AI Models for Edge Devices
14 HeuresBuilding AI Solutions on the Edge
14 HeuresEdge AI with TensorFlow Lite
14 HeuresAI-Powered Autonomous Systems
21 HeuresMachine Learning with Google Colab
14 HeuresAlphaFold
7 HeuresData Mining with Weka
14 HeuresAdvanced Analytics with RapidMiner
14 HeuresMachine Learning with Python – 2 Days
14 HeuresMachine Learning with Python – 4 Days
28 HeuresAdaBoost Python for Machine Learning
14 HeuresAutoML with Auto-Keras
14 HeuresAutoML
14 HeuresMachine Learning
21 HeuresPattern Recognition
21 HeuresDataRobot
7 HeuresFeature Engineering for Machine Learning
14 HeuresGoogle Cloud AutoML
7 HeuresMachine Learning Algorithms in Julia
21 HeuresKubeflow
35 HeuresKubeflow Fundamentals
28 HeuresKubeflow on AWS
28 HeuresKubeflow on Azure
28 HeuresMathematica for Machine Learning
14 HeuresMachine Learning and Big Data
7 HeuresMLflow
21 HeuresIntroduction to Machine Learning
7 HeuresMachine Learning on iOS
14 HeuresMachine Learning for Robotics
21 HeuresPattern Matching
14 HeuresMachine Learning with Random Forest
14 HeuresTensorflow Lite for Microcontrollers
21 HeuresDernière Mise À Jour:
Nos clients témoignent(25)
Hunter est fabuleux, très engageant, extrêmement bien informé et sympathique. C'est très bien.
Rick Johnson - Laramie County Community College
Formation - Artificial Intelligence (AI) Overview
Traduction automatique
Le VM est une bonne idée
Vincent - REGNOLOGY ROMANIA S.R.L.
Formation - Fundamentals of Artificial Intelligence (AI) and Machine Learning
Traduction automatique
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - TCMT
Formation - Machine Learning with Python – 2 Days
The clarity with which it was presented
John McLemore - Motorola Solutions
Formation - Deep Learning for Telecom (with Python)
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
Formation - MLflow
La qualité des explications, et le nombre important de sujets abordés
Hugo SECHIER - Expleo France
Formation - Kubeflow on AWS
The way of transferring knowledge and the knowledge of the trainer.
Jakub Rękas - Bitcomp Sp. z o.o.
Formation - Machine Learning on iOS
The explaination
Wei Yang Teo - Ministry of Defence, Singapore
Formation - Machine Learning with Python – 4 Days
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 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
The trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.
Robert Baker
Formation - Deep Learning with TensorFlow 2.0
Convolution filter
Francesco Ferrara
Formation - Introduction to Machine Learning
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Formation - TensorFlow Extended (TFX)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Formation - Natural Language Processing with TensorFlow
The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
Formation - Applied AI from Scratch in Python
I liked the lab exercises.
Marcell Lorant - L M ERICSSON LIMITED
Formation - Machine Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Formation - Python for Advanced Machine Learning
Very flexible.
Frank Ueltzhöffer
Formation - Artificial Neural Networks, Machine Learning and Deep Thinking
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Formation - TensorFlow for Image Recognition
I liked the new insights in deep machine learning.
Josip Arneric
Formation - Neural Network in R
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
Formation - Machine Learning and Deep Learning
The global overview of deep learning.
Bruno Charbonnier
Formation - Advanced Deep Learning
The topic is very interesting.
Wojciech Baranowski
Formation - Introduction to Deep Learning
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
Formation - Introduction to the use of neural networks
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
Formation - Artificial Neural Networks, Machine Learning, Deep Thinking
Cours à venir
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