Reinforcement in machine learning its related to business analytics

YashwanthKumar306128 8 views 16 slides Jul 15, 2024
Slide 1
Slide 1 of 16
Slide 1
1
Slide 2
2
Slide 3
3
Slide 4
4
Slide 5
5
Slide 6
6
Slide 7
7
Slide 8
8
Slide 9
9
Slide 10
10
Slide 11
11
Slide 12
12
Slide 13
13
Slide 14
14
Slide 15
15
Slide 16
16

About This Presentation

About Business analyitics


Slide Content

Understanding Reinforcement The Key to Behavioral Conditioning [Your Name] [Date]

Introduction to Reinforcement Definition: Explanation of reinforcement in the context of behavioral psychology. Key Concepts: Positive vs. negative reinforcement.

Historical Background Key Figures: Ivan Pavlov, B.F. Skinner. Development: Overview of classical and operant conditioning.

Types of Reinforcement Positive Reinforcement: Definition and examples. Negative Reinforcement: Definition and examples.

Positive Reinforcement Definition: Presentation of a stimulus after a behavior that increases the likelihood of the behavior recurring. Examples: Praise, rewards, bonuses.

Negative Reinforcement Definition: Removal of an aversive stimulus after a behavior that increases the likelihood of the behavior recurring. Examples: Removing chores, canceling a test.

Reinforcement Schedules Continuous Reinforcement: Definition and usage. Partial Reinforcement: Definition and types (fixed-ratio, variable-ratio, fixed-interval, variable-interval).

Fixed-Ratio and Variable-Ratio Schedules Fixed-Ratio: Definition and examples (e.g., piecework pay). Variable-Ratio: Definition and examples (e.g., gambling, lottery).

Fixed-Interval and Variable-Interval Schedules Fixed-Interval: Definition and examples (e.g., weekly paycheck). Variable-Interval: Definition and examples (e.g., random drug testing).

Applications of Reinforcement In Education: Classroom management, encouraging student participation. In Workplace: Employee motivation, performance bonuses.

Advantages and Disadvantages Advantages: Effectiveness in changing behavior, predictability. Disadvantages: Potential for dependency, ethical considerations.

Case Studies Example 1: Application of positive reinforcement in a classroom setting. Example 2: Negative reinforcement in workplace productivity.

Ethical Considerations Discussion: Ethical implications of reinforcement strategies. Examples: Over-reliance on rewards, impact on intrinsic motivation.

Conclusion Summary: Recap of key points. Final Thoughts: Importance of reinforcement in behavior modification.

Q&A Invitation: Open the floor for questions and discussion.

References Citations: List of sources and references used in the presentation.
Tags