Published on: 2024-12-21 23:18:41
Categories: 28
Share:
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.
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)
After the Extract with the Player your custom view.
Subtitles: English
Quality: 720p
The 12/2024 version has increased by 59 text files compared to 7/2020.
Fundamentals of Reinforcement Learning
Sample-based Learning Methods
Prediction and Control with Function Approximation
A Complete Reinforcement Learning System (Capstone)
3.52 GB
Sharing is caring: