Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are subsets of computer science focused on creating systems that learn and make decisions.
Key Concepts:
- AI: Simulating human intelligence through algorithms.
- ML: Training models using data to recognize patterns and make predictions.
- Neural Networks: Mimic the structure of the human brain to solve complex problems.
Applications of AI/ML:
- Self-driving cars using real-time data analysis.
- Voice assistants like Siri or Alexa.
- Predictive analytics in big data.
Ethical Challenges:
- Bias in data used to train models.
- Job displacement due to automation.
- Balancing innovation with accountability in decision-making systems.