北京 - 数码大厦
探索我们的课程
AI Awareness for Telecom
14 小时From Zero to AI
35 小时Applied AI from Scratch
28 小时Applied Machine Learning
14 小时Azure Machine Learning
14 小时DeepMind Lab
14 小时Kubeflow
35 小时Kubeflow Fundamentals
28 小时机器学习用于银行业务(使用Python)
21 小时机器学习用于银行业务(使用R)
28 小时Last Updated:
客户评论 (21)
我们通过实际示例对 Machine Learning、Neural Networks 和 AI 进行了概述。
Catalin - DB Global Technology SRL
课程 - Machine Learning and Deep Learning
机器翻译
培训师表明他对这个主题有很好的理解。
Marino - EQUS - The University of Queensland
课程 - Machine Learning with Python – 2 Days
机器翻译
有趣的知识
Gabriel - MINDEF
课程 - Machine Learning with Python – 4 Days
机器翻译
examples based on our data
Witold - P4 Sp. z o.o.
课程 - Deep Learning for Telecom (with Python)
培训是耸人听闻的,是我去过的最好的培训之一!讲师拉法尔(Rafał)在他所处理的问题方面回答得非常完美,他非常彻底地解释了所有方法。 Jest我很高兴,也很乐意再次使用这位培训师进行的培训。
Darek Paszkowski - Orange Szkolenia Sp. z o.o.
机器翻译
The details and the presentation style.
Cristian Mititean - Accenture Industrial SS
课程 - Azure Machine Learning (AML)
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
课程 - 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
课程 - Artificial Neural Networks, Machine Learning, Deep Thinking
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
课程 - MLflow
The way of transferring knowledge and the knowledge of the trainer.
Jakub Rękas - Bitcomp Sp. z o.o.
课程 - 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™
课程 - 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
课程 - 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
课程 - Machine Learning Concepts for Entrepreneurs and Managers
Convolution filter
Francesco Ferrara
课程 - Introduction to Machine Learning
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
课程 - 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
课程 - Machine Learning – Data science
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
课程 - Advanced Deep Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
课程 - Python for Advanced Machine Learning
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
课程 - TensorFlow for Image Recognition
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane
课程 - Neural Networks Fundamentals using TensorFlow as Example
The trainer was so knowledgeable and included areas I was interested in.