This instructor-led, live training in 北京市朝阳区 (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
By the end of this training, participants will be able to:
Apply core statistical methods to pattern recognition.
Use key models like neural networks and kernel methods for data analysis.
Implement advanced techniques for complex problem-solving.
Improve prediction accuracy by combining different models.
RapidMiner 是一个开源数据科学软体平台，用于快速应用程式原型设计和开发。它包括用于数据准备、机器学习、深度学习、文本挖掘和预测分析的集成环境。
在这个由讲师指导的实时培训中，参与者将学习如何使用 RapidMiner Studio 进行数据准备、机器学习和预测模型部署。
在本次培训结束时，参与者将能够：
安装与设定RapidMiner
使用 RapidMiner 准备和可视化数据
验证机器学习模型
混搭数据并创建预测模型
在业务流程中实施预测分析
故障排除和优化 RapidMiner
观众
数据科学家
工程师
开发人员
课程形式
部分讲座、部分讨论、练习和大量动手实践
注意
要申请本课程的定制培训，请联系我们进行安排。
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客户评论 (23)
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
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机器翻译
VM 是个好主意
Vincent - REGNOLOGY ROMANIA S.R.L.
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机器翻译
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - TCMT
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The clarity with which it was presented
John McLemore - Motorola Solutions
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the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
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The way of transferring knowledge and the knowledge of the trainer.
Jakub Rekas - Bitcomp Sp. z o.o.
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The explaination
Wei Yang Teo - Ministry of Defence, Singapore
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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
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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
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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
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Convolution filter
Francesco Ferrara
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Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
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Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
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The trainer was a professional in the subject field and related theory with application excellently
Fahad Malalla - Tatweer Petroleum
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It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
Kamila Begej - GE Medical Systems Polska Sp. Zoo
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In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
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Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
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I liked the new insights in deep machine learning.
Josip Arneric
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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
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The global overview of deep learning.
Bruno Charbonnier
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The topic is very interesting.
Wojciech Baranowski
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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
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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
