Objective:
The learning objective of this lesson is to equip adult learners with the foundational knowledge and practical skills necessary to understand and engage with artificial intelligence (AI). By the end of this lesson, learners will be able to identify the core building blocks of AI, understand their functions, and apply this knowledge in real-world scenarios to solve problems and enhance their personal and professional capabilities.
Comprehensive Content Overview:
AI skills encompass a broad range of competencies, from understanding machine learning algorithms to deploying AI applications. This lesson will cover the following core building blocks:
- Fundamentals of Machine Learning.
- Types of AI: Understanding AI, Machine Learning, and Deep Learning.
- Data Preparation and Cleaning.
- Building and Training AI Models.
- Evaluating AI Model Performance.
- Implementation and Ethical Considerations.
In-depth Explanations with Actionable Insights:
Fundamentals of Machine Learning Machine learning is the process by which computers use statistical techniques to learn from data. A simple example is a linear regression model that predicts housing prices based on features such as size and location.
Actionable Insight: To build a linear regression model, collect housing data, select relevant features, and use a machine learning library like scikit-learn in Python to train the model.
Types of AI: Understanding AI, Machine Learning, and Deep Learning AI is an umbrella term that encompasses any machine capable of performing tasks that typically require human ...
