在中国由讲师进行实时指导的Reinforcement Learning本地培训课程。
客户评论
我喜欢实例讲解
AUO友达光电（苏州）有限公司
课程: OptaPlanner in Practice
资讯
Amr Alaa - FAB banak Egypt
课程: Introduction to Data Science and AI (using Python)
Machine Translated
学习新语言
FAB banak Egypt
课程: Introduction to Data Science and AI (using Python)
Machine Translated
主题演示知识时序
Aly Saleh - FAB banak Egypt
课程: Introduction to Data Science and AI (using Python)
Machine Translated
有帮助和好听众..互动
Ahmed El Kholy - FAB banak Egypt
课程: Introduction to Data Science and AI (using Python)
Machine Translated
艾哈迈德是非常互动的，不介意回答任何类型的问题良好的演示和流畅的流程
Mohamed Ghowaiba - FAB banak Egypt
课程: Introduction to Data Science and AI (using Python)
Machine Translated
这个课程非常有趣的是主要焦点截止日期
mohamed taher - FAB banak Egypt
课程: Introduction to Data Science and AI (using Python)
Machine Translated
拓宽视野的讨论
FAB banak Egypt
课程: Introduction to Data Science and AI (using Python)
Machine Translated
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 中国 (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.
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.
21小时
课程概览
This instructor-led, live training in 中国 (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.
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.
近期Reinforcement Learning培训课程
2021-06-02 09:30:00
上海 - 上海中区广场
21 小时
2021-06-02 09:30:00
上海 - 上海中区广场
21 小时
2021-06-07 09:30:00
上海 - 上海中区广场
21 小时
2021-06-07 09:30:00
上海 - 上海中区广场
21 小时
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