Coursera – Reinforcement Learning Specialization 2024-12

Published on: 2024-12-21 23:18:41

Categories: 28

Description

Reinforcement Learning, Specialization, etc. course offered by Coursera, which is for the specialized topic of reinforcement learning deals.

Course learning reinforcement consists of 4 courses is to review the systems for adaptive learning and artificial intelligence (AI) deals. Taking full advantage of the potential of artificial intelligence require the use of a system of reinforcement learning is. Solutions to reinforcement learning (RL) can use the interactions of try and error, and through employing the complete solutions of reinforcement learning to solve the problems in the real world pay.

You with the completion of this specialized course, you can many of the principles of modern statistics and artificial intelligence to understand. The completion of this course, you also have to pass the advanced courses and applying the tools of artificial intelligence to solve real world problems prepares.

This course by the University of Alberta and the Institute of learning, artificial intelligence, Alberta, as the center of the main artificial intelligence in the known world can be. recommended. Rating given to the course by buyers 4.7 out of 5. With time spend 5 hours a week can do this course in 5 months, etc. complete.

Cases in which the course is taught:

Create a system of reinforcement learning to decide consecutive
Familiarity with the algorithms of reinforcement learning (Temporal – Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, etc.)
Understand how tooling responsibilities as issues of reinforcement learning and how to apply solutions
Understand the subject that reinforcement learning can be used in machine learning will be used and how to complete deep learning and learning monitoring and supervision not can help.

Profile courses:

Publisher: : Coursera
Level: advanced
Instructor: Martha White, Adam White
Number of courses: 4 courses
Language: English
Duration: 2 months at 10 hours a week

This course will Reinforcement Learning Specialization

Reinforcement Learning Specialization

Prerequisite course

Recommended that learners have at least one year of undergraduate computer science or 2-3 years of professional experience in software development. Experience and comfort with programming in Python required. Must be comfortable converting algorithms and pseudocode into Python. Basic understanding of concepts from statistics (distributions, sampling, expected values), linear algebra (vectors and matrices) and calculus (computing derivatives)