26层, 总府路2号，A座26楼, 成都, 中国, 610016
时代广场中心是成都市中央商务区内最著名的建筑之一，已经吸引银行、信息科技、电子、汽车制造和建筑行业的多家财富500强企业入住。时代广场中心交通便利，酒店和购物设施完备。随着周边地区汇聚部分世界最大的公司，成都市的国际形象迅速提升。这得益于中央政府推动西部地区经济发展的“西部开发”政策。成都迅速崛起成为西部的主要金融中心。许多高科技公司也开始进驻成都。
成都 - 时代广场
子目录 (10)
探索我们的课程
AlphaFold
7 小时Data Mining with Weka
14 小时AutoML with Auto-Keras
14 小时AutoML
14 小时Pattern Recognition
21 小时DataRobot
7 小时Google Cloud AutoML
7 小时Kubeflow
35 小时Kubeflow Fundamentals
28 小时Kubeflow on AWS
28 小时Kubeflow on Azure
28 小时机器学习用于银行业务（使用Python）
21 小时机器学习和大数据
7 小时机器学习用于金融领域（使用Python）
21 小时MLflow
21 小时Machine Learning on iOS
14 小时Pattern Matching
14 小时上次更新:
客户评论 (22)
亨特很棒，非常有吸引力，知识渊博，风度翩翩。 做得很好。
Rick Johnson - Laramie County Community College
课程 - Artificial Intelligence (AI) Overview
机器翻译
VM 是个好主意
Vincent - REGNOLOGY ROMANIA S.R.L.
课程 - Fundamentals of Artificial Intelligence (AI) and Machine Learning
机器翻译
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - TCMT
课程 - Machine Learning with Python – 2 Days
The clarity with which it was presented
John McLemore - Motorola Solutions
课程 - Deep Learning for Telecom (with Python)
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 Rekas - Bitcomp Sp. z o.o.
课程 - Machine Learning on iOS
The explaination
Wei Yang Teo - Ministry of Defence, Singapore
课程 - 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 TM
课程 - 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
课程 - 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
课程 - Deep Learning with TensorFlow 2.0
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)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
课程 - Natural Language Processing with TensorFlow
The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
课程 - Applied AI from Scratch in Python
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 new insights in deep machine learning.
Josip Arneric
课程 - 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
课程 - Machine Learning and Deep Learning
The global overview of deep learning.
Bruno Charbonnier
课程 - Advanced Deep Learning
The topic is very interesting.
Wojciech Baranowski
课程 - 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
课程 - 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
课程 - Artificial Neural Networks, Machine Learning, Deep Thinking
即将举行的公开课程
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