浙江现场Reinforcement Learning培训

浙江现场Reinforcement Learning培训

在浙江由讲师进行实时指导的Reinforcement Learning本地培训课程。

浙江 - 外经贸广场

外经贸广场(浙江经贸大楼)

杭州市, Zhejiang 下城区延安路468号 ,
浙江 - 外经贸广场
在浙江的培训中心学习Reinforcement Learning。浙江外经贸广场坐落于杭州市中央商务区核心地段。杭州民营经济发达,银行、信息科技、电子、工程和外贸行业的许多跨国公司都在这里设置分支机构。杭州距上海的火车车程约1.5小时。杭州经济保持快速增长,吸引了大批公司前来拓展业务。得益于自然风景优美,地处杭州湾有利地理位置,杭州在过去1000年一直是中国最富裕的城市之一。浙江外经贸广场周围遍布了许多购物商场餐馆和酒店,步行即可到达。 查看更多

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浙江现场Reinforcement Learning培训课程

浙江现场Reinforcement Learning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
This instructor-led, live training in 浙江 (online or onsite) is aimed at data scientists who wish to create and deploy a Reinforcement Learning system, capable of making decisions and solving real-world problems within an organization.

By the end of this training, participants will be able to:

- Understand the relationships and differences between Reinforcement Learning and machine learning, deep learning, supervised and unsupervised learning.
- Analyze a real-world problem and redefine it as Reinforcement Learning problem.
- Implementing a solution to a real-world problem using Reinforcement Learning.
- Understand the different algorithms available in Reinforcement Learning and select the most suitable one for the problem at hand.
21小时
课程概览
This instructor-led, live training in 浙江 (online or onsite) is aimed at data scientists who wish to go beyond traditional machine learning approaches to teach a computer program to figure out things (solve problems) without the use of labeled data and big data sets.

By the end of this training, participants will be able to:

- Install and apply the libraries and programming language needed to implement Reinforcement Learning.
- Create a software agent that is capable of learning through feedback instead of through supervised learning.
- Program an agent to solve problems where decision making is sequential and finite.
- Apply knowledge to design software that can learn in a way similar to how humans learn.
7小时
课程概览
This instructor-led, live training in 浙江 (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and implement OpenAI Gym to quickly develop reinforcement learning algorithms.

By the end of this training, participants will be able to build, develop, execute, and test reinforcement learning algorithms to optimize tasks and achieve maximum results.
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