ML is a subset of AI where systems learn from data to improve their performance over time. ML includes:
• Supervised Learning: Training models on labeled data.
• Unsupervised Learning: Identifying patterns in unlabeled data.
• Reinforcement Learning: Learning through rewards and penalties.
AI vs. Machine Learning vs. Deep Learning vs. Neural Networks
NLP Enables computers to understand and process human language, facilitating applications like language translation and sentiment analysis.
The six main subsets of AI: (Machine learning, NLP, and more)
Computer vision allows machines to interpret visual information from the world, such as recognizing objects and faces.