Cursos de Reinforcement Learning guiados por instrutor ao vivo no Portugal.
Declaração de Clientes
Eu gosto de exemplos para explicar
AUO友达光电（苏州）有限公司
Curso: OptaPlanner in Practice
Machine Translated
informações
Amr Alaa - FAB banak Egypt
Curso: Introduction to Data Science and AI (using Python)
Machine Translated
Aprender nova língua.
FAB banak Egypt
Curso: Introduction to Data Science and AI (using Python)
Machine Translated
Assunto de apresentação de assunto Timing
Aly Saleh - FAB banak Egypt
Curso: Introduction to Data Science and AI (using Python)
Machine Translated
Último e bom ouvinte ... Interativo
Ahmed El Kholy - FAB banak Egypt
Curso: Introduction to Data Science and AI (using Python)
Machine Translated
Ahmed foi muito interativo e não se importou respondendo qualquer tipo de perguntas bem a apresentação e fluxo suave do curso
Mohamed Ghowaiba - FAB banak Egypt
Curso: Introduction to Data Science and AI (using Python)
Machine Translated
O curso é muito interessante ser o foco principal a dormir
mohamed taher - FAB banak Egypt
Curso: Introduction to Data Science and AI (using Python)
Machine Translated
As discussões para ampliar nossos horizontes
FAB banak Egypt
Curso: Introduction to Data Science and AI (using Python)
Machine Translated
Programa de curso Reinforcement Learning
Nome do Curso
Duração
Visão geral
Nome do Curso
Duração
Visão geral
21 horas
Visão geral
This instructor-led, live training in Portugal (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.
21 horas
Visão geral
This instructor-led, live training in Portugal (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.
7 horas
Visão geral
This instructor-led, live training in Portugal (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.
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.
Próximos Cursos de Reinforcement Learning
04-10-2021 09:30
21 horas
06-10-2021 09:30
7 horas
06-10-2021 09:30
7 horas
08-11-2021 09:30
21 horas
08-11-2021 09:30
21 horas
Consultoria
Cursos de fim de semana de Reinforcement Learning, Treinamento tardiurno de Reinforcement Learning, Treinamento em grupo de Reinforcement Learning, Reinforcement Learning guiado por instrutor, Treinamento de Reinforcement Learning de fim de semana, Cursos de Reinforcement Learning tardiurnos, coaching de Reinforcement Learning, Instrutor de Reinforcement Learning, Treinador de Reinforcement Learning, Cursos de treinamento de Reinforcement Learning, Aulas de Reinforcement Learning, Reinforcement Learning no local do cliente, Cursos privados de Reinforcement Learning, Treinamento individual de Reinforcement Learning
.jpg "procter & gamble (p&g)")
.jpg "american international group (aig)")
.png "european space agency (esa)")
