在中国由讲师进行实时指导的ML.NET本地培训课程。
客户评论
我喜欢干货和练习相结合的部分
FNZ
课程: SpecFlow：为.NET实现BDD
Yuan Bin老师讲得很具体
Joy Xu
课程: UIPath：部署机器人劳动力
我喜欢SAP RPA 练习部分
Ray Bi
课程: UIPath：部署机器人劳动力
我喜欢练习和答疑
Jihong Liu
课程: UIPath：部署机器人劳动力
调用SAP和介绍SAP自带script的功能还有结合。
Angela Tao
课程: UIPath：部署机器人劳动力
每一个模块都会添加动手环节，最后的答疑环节。
熊 斌
课程: UIPath：部署机器人劳动力
我喜欢做练习
课程: UIPath：部署机器人劳动力
我喜欢老师讲案例
周 晶晶
课程: UIPath：部署机器人劳动力
对于软件的使用介绍和各种案例的操作指导
caesar li - 广州长濑贸易有限公司
课程: UIPath：部署机器人劳动力
练习及反馈讲解
区 健 - 广州长濑贸易有限公司
课程: UIPath：部署机器人劳动力
回答问题有奖励环节~
ANNA CHEN - 广州长濑贸易有限公司
课程: UIPath：部署机器人劳动力
open any SW which I have in my computer to find data and operate with the data
Jessica Zhou
课程: UIPath：部署机器人劳动力
Exercises
Eva Leung - 广州长濑贸易有限公司
课程: UIPath：部署机器人劳动力
与老师互动，有机会提问热门问题。
Grzegorz Ziegert
课程: Administration with Powershell
Machine Translated
上釉时使用的例子。 Intel Technolo
INTEL TECHNOLOGY POLAND SP Z O O
课程: PowerShell Master Class
Machine Translated
Communicator的沟通能力，来自职业生活的许多例子，导致了PowerShell问题的有用性Przemysław Prądzynski - Intel Technology Poland Sp
Przemyslaw Pradzynski
课程: PowerShell Master Class
Machine Translated
这是一个紧凑，交付良好的。
Antonio Rojas
课程: IIS 8 and ASP.NET Administration
Machine Translated
我一般都受益于实践培训。
Robert Badeloe
课程: IIS 7 and ASP.NET Administration
Machine Translated
我一般都喜欢一行中的序列化。
Tomasz Kawecki
课程: Programming in C#
Machine Translated
我喜欢面向对象的高级主题。
Jorge Romero
课程: Programming in C#
Machine Translated
我真的很喜欢好的节奏，好的分析。
Żurański Kacper
课程: Programming in C#
Machine Translated
通过培训课程获得的所有知识。
Jorge Romero
课程: Programming in C#
Machine Translated
管理
WABCO Polska Sp. z o.o.
课程: Programowanie w C#
Machine Translated
我通常在训练期间受益于锻炼。
Wilkie Yu
课程: UIPath: Deploying a Robotic Workforce
Machine Translated
培训师是一名从业者
KGHM Polska Miedź S.A.
课程: IIS 8 and ASP.NET Administration
Machine Translated
这非常实用。
FreelyIT
课程: RabbitMQ with .NET
Machine Translated
培训师的知识和经验
KGHM Polska Miedź S.A.
课程: IIS 8 and ASP.NET Administration
Machine Translated
这个主题的实用方法。培训师的知识。
Bartłomiej Malinowski - KGHM Polska Miedź S.A.
课程: IIS 8 and ASP.NET Administration
Machine Translated
课程的实用方面 - 讲师的全部意义在于遇到困难时有人可以打电话。可以在不需要讲师的情况下研究Scrum和产品所有者等的定义。但是使用Visual Studio ，启动并运行Specflow并正确使用它 - 这些是需要教师的培训元素。这些实用的动手练习是我最喜欢的元素。我会更喜欢这个。
FNZ Holidings Limited
课程: SpecFlow: Implementing BDD for .NET
Machine Translated
我很喜欢功能文件和相应的步骤创建。
FNZ Holidings Limited
课程: SpecFlow: Implementing BDD for .NET
Machine Translated
气氛。这是一次很好的训练。
Natascha Hazeleger - Stichting Mitros
课程: UIPath: Deploying a Robotic Workforce
Machine Translated
我喜欢学习UIPath的功能
Jan Jirka Rijsdijk - Stichting Mitros
课程: UIPath: Deploying a Robotic Workforce
Machine Translated
重述编程概念和练习 (但并不是每个人都喜欢它, 因为他们不熟悉编程的基础知识)。
Playn'Go Ph Inc
课程: C# for Automation Test Engineers
Machine Translated
节奏恰到好处, 斯瓦尔纳几乎涵盖了 uipath 的一切。
Arianne Grace Dave - White & Case Global Operations Center (Manila) LLP
课程: UIPath: Deploying a Robotic Workforce
Machine Translated
培训方法--许多实际任务, 特别是从我们自己的流程工作范围来看
DANIEL DZIERGOWSKI - Takeda SCE Sp. z o.o
课程: UIPath: Deploying a Robotic Workforce
Machine Translated
我们已经改变了很多实际任务, 这是一个很大的优势。我们还可以自动执行您的流程, 以便您可以立即了解 UIPath 如何帮助您完成我们的日常工作。主持人有很多知识, 很容易传达。
Małgorzata Kozińska - Takeda SCE Sp. z o.o
课程: UIPath: Deploying a Robotic Workforce
Machine Translated
根据参与者的需要, 科目和水平都是合适的。培训师和参与者确定可以自动化的流程, 然后进入非洲南部。高级培训师资格
Takeda SCE Sp. z o.o
课程: UIPath: Deploying a Robotic Workforce
Machine Translated
我喜欢做练习
课程: UIPath：部署机器人劳动力
ML.NET课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
21小时
课程概览
ML.NET is a framework for machine learning applications built upon the .NET development platform by Microsoft. It is extensible to multiple operating systems and can perform various machine learning prediction tasks. The central ML.NET tools are the ML.NET CLI and Model Builder which allow .NET developers to generate, train, and deploy machine learning models based on the objectives of an enterprise.
This instructor-led, live training (online or onsite) is aimed at data scientists and developers who wish to use ML.NET machine learning models to automatically derive projections from executed data analysis for enterprise applications.
By the end of this training, participants will be able to:
- Install ML.NET and integrate it into the application development environment.
- Understand the machine learning principles behind ML.NET tools and algorithms.
- Build and train machine learning models to perform predictions with the provided data smartly.
- Evaluate the performance of a machine learning model using the ML.NET metrics.
- Optimize the accuracy of the existing machine learning models based on the ML.NET framework.
- Apply the machine learning concepts of ML.NET to other data science applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at data scientists and developers who wish to use ML.NET machine learning models to automatically derive projections from executed data analysis for enterprise applications.
By the end of this training, participants will be able to:
- Install ML.NET and integrate it into the application development environment.
- Understand the machine learning principles behind ML.NET tools and algorithms.
- Build and train machine learning models to perform predictions with the provided data smartly.
- Evaluate the performance of a machine learning model using the ML.NET metrics.
- Optimize the accuracy of the existing machine learning models based on the ML.NET framework.
- Apply the machine learning concepts of ML.NET to other data science applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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