30 Important AI Terms Explained
Here’s a glimpse into the post :
- Machine Learning: The core of AI where algorithms predict outcomes from data.
- Neural Networks: Mimic the human brain to process complex patterns.
- Deep Learning: Enables machines to solve problems that have eluded them before.
- Natural Language Processing (NLP): Helps machines understand human language.
- Natural Language Understanding (NLU): Goes deeper into comprehending linguistic nuances.
- Computer Vision: Gives sight to machines, interpreting the visual world.
- Reinforcement Learning: Teaches machines through trial and error.
- Supervised Learning: Machines learn from examples with known outcomes.
- Unsupervised Learning: Detects patterns in data without specific guidance.
- Semi-supervised Learning: Combines labeled and unlabeled data for more versatility.
[Explore more in the post]
Here’s a glimpse into the post :
- Machine Learning: The core of AI where algorithms predict outcomes from data.
- Neural Networks: Mimic the human brain to process complex patterns.
- Deep Learning: Enables machines to solve problems that have eluded them before.
- Natural Language Processing (NLP): Helps machines understand human language.
- Natural Language Understanding (NLU): Goes deeper into comprehending linguistic nuances.
- Computer Vision: Gives sight to machines, interpreting the visual world.
- Reinforcement Learning: Teaches machines through trial and error.
- Supervised Learning: Machines learn from examples with known outcomes.
- Unsupervised Learning: Detects patterns in data without specific guidance.
- Semi-supervised Learning: Combines labeled and unlabeled data for more versatility.
[Explore more in the post]
No hay comentarios:
Publicar un comentario