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Reinforcement Learning

Qwik Start

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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn and get hands-on practice with the fundamental concepts of Reinforcement Learning.

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Syllabus

Reinforcement Learning: Qwik Start

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Develops foundational concepts in reinforcement learning, a valuable skill for machine learning and data science roles

Taught by Google Cloud Training, recognized for their expertise in cloud computing and data analytics

Emphasizes hands-on practice through labs in the Google Cloud console, providing practical experience

Self-paced learning format allows for flexibility and customization to fit individual schedules

May require prior knowledge in machine learning or related fields to fully grasp the concepts

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Reinforcement Learning: Qwik Start with these activities:

Connect with Experts in Reinforcement Learning

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Seek guidance from experienced professionals to enhance your understanding and career prospects.

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Attend industry events and conferences.
Join online communities and forums.
Reach out to professors and researchers in the field.

Review Linear Algebra and Probability Concepts

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Refresh your understanding of linear algebra and probability, which are essential foundations for reinforcement learning.

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Review textbooks or online resources.
Solve practice problems.
Complete online quizzes or assessments.

Compile a Glossary of Reinforcement Learning Terms

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Enhance your understanding of reinforcement learning by creating a glossary of key terms.

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Identify key terms from the course materials.
Define each term in your own words.
Organize the terms alphabetically or by category.

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Organize Course Notes and Resources

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Stay organized and improve retention by compiling and reviewing your course notes and resources.

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Gather all course materials, including notes, slides, and assignments.
Create a system for organizing and storing the materials.
Review the materials regularly.

Google Cloud AI Platform Notebooks Guided Tour

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Familiarize yourself with the notebook interface, resource allocation, and billing through this guided tour.

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Visit the link to the guided tour.
Complete the guided tour.

Practice Reinforcement Learning Concepts in Google Colab

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Reinforce your understanding of reinforcement learning concepts by working through exercises in Google Colab.

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Set up a Google Colab notebook.
Load the necessary libraries.
Work through the exercises provided in the notebook.

Build a Reinforcement Learning Model Using Keras-RL

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Apply your knowledge of reinforcement learning by creating a model using Keras-RL.

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Define the environment.
Create the agent.
Train the model.
Evaluate the model.

Career center

Learners who complete Reinforcement Learning: Qwik Start will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers who specialize in reinforcement learning are responsible for developing and maintaining machine learning models that can learn from experience. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of applications.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists who specialize in reinforcement learning use machine learning techniques to solve complex problems in a variety of industries. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of applications.

See salaries and explore the career path for Data Scientist

Robotics Engineer

Robotics Engineers who specialize in reinforcement learning develop and maintain robots that can learn from experience. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of robotics applications.

See salaries and explore the career path for Robotics Engineer

Software Engineer

Software Engineers who specialize in reinforcement learning develop and maintain software systems that use machine learning to learn from experience. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of software applications.

See salaries and explore the career path for Software Engineer

Operations Research Analyst

Operations Research Analysts who specialize in reinforcement learning use machine learning techniques to solve complex problems in operations research. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of operations research applications.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts who specialize in reinforcement learning use machine learning techniques to solve complex problems in finance. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of financial applications.

See salaries and explore the career path for Quantitative Analyst

Game Developer

Game Developers who specialize in reinforcement learning develop and maintain games that use machine learning to learn from experience. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of game applications.

See salaries and explore the career path for Game Developer

Business Analyst

Business Analysts who specialize in reinforcement learning use machine learning techniques to solve complex business problems. This course provides a foundation in the fundamental concepts of reinforcement learning, which is essential for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course will help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of business applications.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers who specialize in reinforcement learning use machine learning techniques to manage projects. This course provides a foundation in the fundamental concepts of reinforcement learning, which may be helpful for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course may help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of project management applications.

See salaries and explore the career path for Project Manager

Financial Analyst

Financial Analysts who specialize in reinforcement learning use machine learning techniques to analyze financial data. This course provides a foundation in the fundamental concepts of reinforcement learning, which may be helpful for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course may help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of financial analysis applications.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers who specialize in reinforcement learning use machine learning techniques to develop and manage products. This course provides a foundation in the fundamental concepts of reinforcement learning, which may be helpful for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course may help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of product management applications.

See salaries and explore the career path for Product Manager

Human Resources Manager

Human Resources Managers who specialize in reinforcement learning use machine learning techniques to manage human resources. This course provides a foundation in the fundamental concepts of reinforcement learning, which may be helpful for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course may help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of human resources management applications.

See salaries and explore the career path for Human Resources Manager

Marketing Manager

Marketing Managers who specialize in reinforcement learning use machine learning techniques to develop and manage marketing campaigns. This course provides a foundation in the fundamental concepts of reinforcement learning, which may be helpful for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course may help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of marketing management applications.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales Managers who specialize in reinforcement learning use machine learning techniques to manage sales. This course provides a foundation in the fundamental concepts of reinforcement learning, which may be helpful for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course may help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of sales management applications.

See salaries and explore the career path for Sales Manager

Customer Success Manager

Customer Success Managers who specialize in reinforcement learning use machine learning techniques to manage customer success. This course provides a foundation in the fundamental concepts of reinforcement learning, which may be helpful for success in this role. Learners will gain hands-on experience with reinforcement learning techniques, including Q-learning, SARSA, and actor-critic methods. This course may help learners build the skills and knowledge needed to develop and deploy successful reinforcement learning models in a variety of customer success management applications.

See salaries and explore the career path for Customer Success Manager

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Reinforcement Learning: Qwik Start.

Reinforcement Learning, second edition

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Classic introduction to reinforcement learning, providing a comprehensive overview of the field. It valuable resource for anyone interested in learning about the fundamentals of reinforcement learning.

Reinforcement Learning, second edition: An...

Hardcover

$$$

Reinforcement Learning, second edition: An...

Kindle Edition

$$$

Robotics, Vision and Control

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Provides a comprehensive introduction to reinforcement learning for robotics, covering the latest advances in the field. It valuable resource for anyone interested in learning about the state-of-the-art in reinforcement learning for robotics.

Robotics, Vision and Control: Fundamental...

Paperback

Robotics, Vision and Control: Fundamental...

Kindle Edition

The Reasonable Robot

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Explores the legal and ethical implications of robotics and AI, including the use of reinforcement learning in robotic systems. It is helpful for understanding the societal impact of robotics and AI.

Reinforcement Learning, second edition

Save

This tutorial provides a concise overview of the fundamental concepts and algorithms of reinforcement learning. It is helpful for getting a quick introduction to the field.

Reinforcement Learning, second edition: An...

Hardcover

$$$

Reinforcement Learning, second edition: An...

Kindle Edition

$$$

Deep Learning for Coders with fastai and PyTorch

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Provides a practical guide to deep learning using the Fastai and PyTorch libraries. It is helpful for understanding the implementation of reinforcement learning algorithms using deep learning techniques.

Deep Learning for Coders with Fastai and PyTorch:...

Paperback

Deep Learning for Coders with fastai and PyTorch:...

Kindle Edition

Deep Reinforcement Learning Hands-On

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Provides a practical guide to deep reinforcement learning, covering the implementation of reinforcement learning algorithms using deep learning techniques. It is helpful for understanding the application of deep learning to reinforcement learning problems.

Deep Reinforcement Learning Hands-On - Second...

Paperback

Deep Reinforcement Learning Hands-On: A practical...

Paperback

$$$

Deep Reinforcement Learning Hands-On: Apply modern...

Paperback

Deep Reinforcement Learning Hands-On: Apply modern...

Kindle Edition

Deep Reinforcement Learning Hands-On: A practical...

Kindle Edition

Deep Reinforcement Learning Hands-On: Apply modern...

Kindle Edition

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Effort

45 minutes

Level

Introductory

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Language

English

Good to know

Develops foundational concepts in reinforcement learning, a valuable skill for machine learning and data science roles

Taught by Google Cloud Training, recognized for their expertise in cloud computing and data analytics

Emphasizes hands-on practice through labs in the Google Cloud console, providing practical experience

Self-paced learning format allows for flexibility and customization to fit individual schedules

May require prior knowledge in machine learning or related fields to fully grasp the concepts

Share and help others discover this course.

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