What is reinforcement learning, and why is it important to learn about?

Reinforcement learning is a machine learning paradigm in which software agents use a process of trial and error to learn how to complete tasks in a way that maximizes cumulative rewards as defined by their programmers. In contrast to supervised learning paradigms, reinforcement learning systems do not need labeled input/output pairs or explicit corrections of suboptimal actions; and, in contrast to unsupervised learning, reinforcement learning defines an explicit goal, which is the maximization of the value returned by the Q-learning (or “quality” learning) algorithm as a result of its actions. Because it combines the goal orientation of supervised learning with the flexibility of unsupervised learning, reinforcement learning is very important in creating artificial intelligence (AI) applications requiring successful problem-solving in complex situations. For example, they are often used in financial engineering to develop optimal trading algorithms for the stock market. They are also used to build intelligent systems to allow robots and self-driving cars to navigate real-world environments safely.

What kinds of careers can I have with a background in reinforcement learning?

As one of the main paradigms for machine learning, reinforcement learning is an essential skill for careers in this fast-growing field. Reinforcement learning is particularly important for developing artificially intelligent digital agents for real-world problem-solving in industries like finance, automotive, robotics, logistics, and smart assistants. According to Glassdoor , the average annual salary for machine learning engineers in America is $114,121 per year, a high level of pay which reflects the high level of demand for this expertise.

Can I learn about reinforcement learning by taking online courses on Coursera?

Absolutely. Coursera hosts a wide variety of courses in reinforcement learning and related topics in machine learning, as well as the use of these techniques in applied contexts such as finance and self-driving cars. These courses and Specializations are offered by top-ranked institutions in this field, including the deepmind.ai, New York University, the University of Toronto, and the University of Alberta’s Machine Intelligence Institute. You can learn remotely on a flexible schedule while still getting feedback from expert professors and instructors, ensuring that you’ll get a high quality education with all the reinforcement you need to learn these valuable skills with confidence.

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Reinforcement Learning

Cursos de Reinforcement Learning

Reinforcement Learning
University of Alberta
Especialización
Calificado 4.7 de cinco estrellas. 2097 reseñas
46 mil estudiantes
Intermediate
Fundamentals of Reinforcement Learning
Alberta Machine Intelligence Institute
Curso
Calificado 4.8 de cinco estrellas. 1749 reseñas
44 mil estudiantes
Intermediate
Deep Learning
DeepLearning.AI
Especialización
Calificado 4.8 de cinco estrellas. 116989 reseñas
990 mil estudiantes
Intermediate
Machine Learning and Reinforcement Learning in Finance
New York University
Especialización
Calificado 3.7 de cinco estrellas. 657 reseñas
35 mil estudiantes
Intermediate
Introduction to Reinforcement Learning in Python
Coursera Project Network
Nuevo
proyecto guiado
Calificado 3.7 de cinco estrellas. 42 reseñas
2.2 mil estudiantes
Intermediate
Ensemble Methods in Machine Learning
Coursera Project Network
Nuevo
proyecto guiado
Intermediate
Practical Reinforcement Learning
National Research University Higher School of Economics
Curso
Calificado 4.2 de cinco estrellas. 410 reseñas
40 mil estudiantes
Advanced
Tensorflow Neural Networks using Deep Q-Learning Techniques
Coursera Project Network
Nuevo
proyecto guiado
Advanced
Machine Learning for Trading
Google Cloud
Especialización
Calificado 3.9 de cinco estrellas. 729 reseñas
26 mil estudiantes
Intermediate
Advanced Machine Learning
National Research University Higher School of Economics
Especialización
Calificado 4.4 de cinco estrellas. 3680 reseñas
300 mil estudiantes
Advanced
Deep Learning and Reinforcement Learning
IBM
Curso
Calificado 4.8 de cinco estrellas. 14 reseñas
1.7 mil estudiantes
Intermediate
IBM Machine Learning
IBM
PROFESSIONAL CERTIFICATE
Calificado 4.6 de cinco estrellas. 192 reseñas
10 mil estudiantes
Intermediate
Getting Started with Tensorflow 2
Coursera Project Network
Nuevo
proyecto guiado
Beginner
A Complete Reinforcement Learning System (Capstone)
University of Alberta
Curso
Calificado 4.7 de cinco estrellas. 420 reseñas
11 mil estudiantes
Intermediate
Self-Driving Cars
University of Toronto
Especialización
Calificado 4.7 de cinco estrellas. 2317 reseñas
110 mil estudiantes
Advanced
Motion Planning for Self-Driving Cars
University of Toronto
Curso
Calificado 4.8 de cinco estrellas. 339 reseñas
24 mil estudiantes
Advanced
Specialized Models: Time Series and Survival Analysis
IBM
Curso
Calificado 4.2 de cinco estrellas. 13 reseñas
1.6 mil estudiantes
Intermediate
Computational Neuroscience
University of Washington
Curso
Calificado 4.6 de cinco estrellas. 810 reseñas
81 mil estudiantes
Beginner
Overview of Advanced Methods of Reinforcement Learning in Finance
New York University
Curso
Calificado 3.8 de cinco estrellas. 66 reseñas
7.5 mil estudiantes
Advanced
Reinforcement Learning for Trading Strategies
Google Cloud
Curso
Calificado 3.6 de cinco estrellas. 142 reseñas
7.2 mil estudiantes
Intermediate

En síntesis, estos son los 10 cursos más populares reinforcement learning

Reinforcement Learning: University of Alberta
Fundamentals of Reinforcement Learning: Alberta Machine Intelligence Institute
Deep Learning: DeepLearning.AI
Machine Learning and Reinforcement Learning in Finance: New York University
Introduction to Reinforcement Learning in Python: Coursera Project Network
Ensemble Methods in Machine Learning: Coursera Project Network
Practical Reinforcement Learning: National Research University Higher School of Economics
Tensorflow Neural Networks using Deep Q-Learning Techniques: Coursera Project Network
Machine Learning for Trading: Google Cloud
Advanced Machine Learning: National Research University Higher School of Economics

Habilidades que puedes aprender en Machine Learning

Programación Python (33)

TensorFlow (32)

Aprendizaje Profundo (30)

Red Neuronal Artificial (24)

Preguntas frecuentes sobre Reinforcement Learning

Reinforcement learning is a machine learning paradigm in which software agents use a process of trial and error to learn how to complete tasks in a way that maximizes cumulative rewards as defined by their programmers. In contrast to supervised learning paradigms, reinforcement learning systems do not need labeled input/output pairs or explicit corrections of suboptimal actions; and, in contrast to unsupervised learning, reinforcement learning defines an explicit goal, which is the maximization of the value returned by the Q-learning (or “quality” learning) algorithm as a result of its actions.
Because it combines the goal orientation of supervised learning with the flexibility of unsupervised learning, reinforcement learning is very important in creating artificial intelligence (AI) applications requiring successful problem-solving in complex situations. For example, they are often used in financial engineering to develop optimal trading algorithms for the stock market. They are also used to build intelligent systems to allow robots and self-driving cars to navigate real-world environments safely.
As one of the main paradigms for machine learning, reinforcement learning is an essential skill for careers in this fast-growing field. Reinforcement learning is particularly important for developing artificially intelligent digital agents for real-world problem-solving in industries like finance, automotive, robotics, logistics, and smart assistants. According to Glassdoor, the average annual salary for machine learning engineers in America is $114,121 per year, a high level of pay which reflects the high level of demand for this expertise.
Absolutely. Coursera hosts a wide variety of courses in reinforcement learning and related topics in machine learning, as well as the use of these techniques in applied contexts such as finance and self-driving cars. These courses and Specializations are offered by top-ranked institutions in this field, including the deepmind.ai, New York University, the University of Toronto, and the University of Alberta’s Machine Intelligence Institute. You can learn remotely on a flexible schedule while still getting feedback from expert professors and instructors, ensuring that you’ll get a high quality education with all the reinforcement you need to learn these valuable skills with confidence.

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Curso	Aprenda Machine Learning con cursos de Machine Learning en línea. Toma cursos de los mejores instructores y las mejores universidades del mundo. Los cursos incluyen tareas revisadas entre compañeros y con calificaciones automáticas, lecciones en video y foros de debate comunitarios. Cuando completas un curso, eres elegible para recibir un certificado de curso electrónico para compartir por una pequeña tarifa.
Especialización	Aprenda Machine Learning con especializaciones en Machine Learning en línea. Inscríbete en un programa especializado para desarrollar una habilidad profesional específica. Completarás una serie de rigurosos cursos, llevarás a cabo proyectos prácticos y obtendrás un certificado de programa especializado para compartir con tu red profesional y posibles empleadores.
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Título	Transforma tu currículum con un título en línea de una universidad importante por un precio de lanzamiento. Nuestra experiencia de aprendizaje de título modular te otorga la capacidad de estudiar en línea en cualquier momento y obtener créditos a medida que completas las tareas de tu curso. Recibirás la misma credencial que los estudiantes que asistieron a la clase en la universidad. Los títulos de Coursera cuestan mucho menos dinero en comparación con los programas presenciales.

Cursos de Reinforcement Learning

Mostrando 73 resultados totales para reinforcement learning

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reinforcement learning for trading strategies

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practical reinforcement learning

a complete reinforcement learning system (capstone)

introduction to reinforcement learning in python

fundamentals of reinforcement learning

deep learning and reinforcement learning

En síntesis, estos son los 10 cursos más populares reinforcement learning

Habilidades que puedes aprender en Machine Learning

Preguntas frecuentes sobre Reinforcement Learning

What is reinforcement learning, and why is it important to learn about?

What kinds of careers can I have with a background in reinforcement learning?

Can I learn about reinforcement learning by taking online courses on Coursera?

Qué tiene Coursera para ofrecer

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Principales especializaciones en línea

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Mostrando 73 resultados totales para reinforcement learning

Searches related to reinforcement learning

En síntesis, estos son los 10 cursos más populares reinforcement learning

Habilidades que puedes aprender en Machine Learning

Preguntas frecuentes sobre Reinforcement Learning

What is reinforcement learning, and why is it important to learn about?

What kinds of careers can I have with a background in reinforcement learning?

Can I learn about reinforcement learning by taking online courses on Coursera?

Qué tiene Coursera para ofrecer

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Principales cursos en línea

Principales especializaciones en línea

Certificados en linea

Programas de titulación en línea

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