The AI Universe: A Comprehensive Overview
Understanding AI is crucial. Here's a quick look at its main areas:
πŸ€– Artificial Intelligence
  • πŸ“… Planning and Scheduling
  • πŸ—£οΈ Natural Language Processing (NLP)
  • πŸ‘οΈ Computer Vision
  • 🧠 Knowledge Representation
  • πŸŽ™οΈ Speech Recognition
  • βš–οΈ AI Ethics
  • 🧩 Cognitive Computing
πŸ€– Machine Learning
  • πŸ” Dimensionality Reduction
  • 🌳 Decision Trees
  • πŸ’Ό Support Vector Machines (SVM)
  • 🀝 Ensemble Learning
  • πŸ”§ Feature Engineering
πŸ€– Neural Networks
  • βš™οΈ Perceptrons
  • πŸ–ΌοΈ Convolutional Neural Networks (CNNs)
  • πŸ”„ Long Short-Term Memory (LSTM)
  • πŸ•ΈοΈ Multi-Layer Perceptron (MLP)
  • 🧩 Backpropagation
πŸ€– Deep Learning
  • 🌊 Deep Neural Networks (DNNs)
  • πŸ–₯️ Deep Convolutional Neural Networks (CNNs)
  • πŸ•ΉοΈ Deep Reinforcement Learning
  • πŸ“¦ Capsule Networks
πŸ€– Generative AI
  • πŸ“š Language Modeling
  • πŸ”„ Transfer Learning
  • πŸ”§ Transformer Architecture
  • 🎯 Self-Attention Mechanism
  • πŸ—£οΈ Natural Language Understanding
  • πŸ“ Summarization
  • πŸ’¬ Dialogue Systems
If you found this overview useful, drop a πŸ‘!
Source: Brij Kishore Pandey (@brijpandeyji)
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The AI Universe: A Comprehensive Overview
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