苏州现场Reinforcement Learning培训

苏州现场Reinforcement Learning培训

在苏州由讲师进行实时指导的Reinforcement Learning本地培训课程。

晋合广场
在苏州的培训中心学习Reinforcement Learning。The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza... 查看更多
 苏州 - 晋合广场
在苏州的培训中心学习Reinforcement Learning。雷格斯晋合广场中心位于苏州工业区核心、金鸡湖东岸。晋合广场是一座综合型大楼,包括高档购物中心、五星级酒店、国际甲级办公楼等,而雷格斯位于大厦十一层。作为苏州金融中心最著名的地标性建筑,凭借其先进的设施和中心地理位置,吸引了众多世界500强公司,如诺基亚、飞利浦和3M等。 晋合广场可方便通往苏州各大核心区域。地铁1号线时代广场站位于大厦的地下层,而距离通往上海和南京的高铁站仅需5分钟车程 查看更多

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苏州现场Reinforcement Learning培训课程

苏州现场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
Reinforcement Learning (RL) is a machine learning technique in which a computer program (agent) learns to behave in an environment by performing the actions and receiving feedback on the results of the actions. For each good action, the agent receives positive feedback, and for each bad action, the agent receives negative feedback (penalty).

This instructor-led, live training (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.

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.
21小时
课程概览
Reinforcement Learning (RL) is an area of AI (Artificial Intelligence) used to build autonomous systems (e.e., an "agent") that learn by interacting with their environment in order to solve a problems. RL has applications in areas such as robotics, gaming, consumer modeling, healthcare, supply chain management, and more.

This instructor-led, live training (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.

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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