O.Mohebbi

Senior Software Engineer / Solution Architect
Concept
Tools
Libraries

1. Machine Learning (ML)

Machine Learning is a subset of AI that focuses on building systems that can learn and improve from data without explicit programming.

  • Supervised Learning: Training models on labeled data.
  • Unsupervised Learning: Discovering patterns in unlabeled data.
  • Reinforcement Learning: Learning through trial and error with rewards and penalties.

2. Deep Learning

Deep Learning is a specialized branch of ML that uses neural networks with multiple layers to analyze complex patterns in large datasets.

  • Inspired by the structure and function of the human brain.
  • Used in applications like image recognition, natural language processing, and autonomous vehicles.

3. Natural Language Processing (NLP)

NLP enables machines to understand, interpret, and generate human language.

  • Key Tasks: Sentiment analysis, translation, speech recognition.
  • Used in chatbots, virtual assistants, and text summarization.

4. Computer Vision

Computer Vision enables machines to interpret and make decisions based on visual data.

  • Applications include object detection, facial recognition, and medical imaging.
  • Involves techniques like image processing, feature extraction, and deep learning.

5. Robotics

Robotics combines AI with mechanical engineering to design intelligent machines that can perform tasks autonomously.

  • Used in manufacturing, healthcare, and exploration.
  • Involves motion planning, perception, and decision-making algorithms.

6. Expert Systems

Expert Systems use rule-based reasoning to simulate the decision-making ability of a human expert.

  • Composed of a knowledge base and an inference engine.
  • Applications include medical diagnosis and financial forecasting.

7. Reinforcement Learning

A learning paradigm where agents learn by interacting with an environment to achieve goals.

  • Uses concepts of rewards and penalties to shape behavior.
  • Applied in robotics, game playing, and autonomous systems.