Getting Started with Artificial Intelligence
This practical guide helps beginners get started with AI.
Learn how to set up your AI learning environment, manage data for AI projects,
and implement your first AI project.
Getting Started with Artificial Intelligence
![Getting Started with Artificial Intelligence Book Cover](../img/getting-started-with-artificial-intelligence.png)
Introduction
- Importance of AI in Modern Times
- Setting Expectations
- What We Are Building: A Description of the Personalized Learning Assistant Project
Part 1: Building Your AI Playground
Chapter 1: Setting Up Your AI Environment
- Introduction to AI Development Tools
- Choosing the Right Hardware
- Introduction to Programming Languages for AI
- Overview of Popular AI Frameworks and Libraries
- Installing and Configuring Your AI Environment
Chapter 2: Essential Programming Skills for AI
- Python Basics for AI
- Key Libraries and Their Usage
- Writing and Running Your First Program
- Debugging and Troubleshooting
Part 2: Data Management for AI
Chapter 3: Understanding Data in AI
- Importance of Data Quality
- Types of Data
- Data Sources
Chapter 4: Preparing Your Data
- Data Cleaning Techniques
- Data Preprocessing
- Feature Engineering
- Data Augmentation
Chapter 5: Data Storage and Management
- Introduction to Databases
- Data Storage Solutions
- Data Management Practices
Part 3: Your First AI Project (Personalized Learning Assistant)
Chapter 6: Getting Started with the Personalized Learning Assistant
- Project Selection
- Defining the Problem
- Data Collection and Preparation
- Building the Model
Chapter 7: Training and Evaluating Your Model
- Model Training
- Evaluation Metrics
- Model Validation
Chapter 8: Interpreting and Improving Your Model
- Analyzing Model Performance
- Hyperparameter Tuning
- Improving Model Accuracy