Topics:

1. Learning from Examples
   • Overview of Different Forms of Learning
   • Supervised Learning
   • Unsupervised Learning
   • Learning Decision Trees
   • Regression and Classification with Linear Model
   • Support Vector Machines (SVM)
   • Ensemble Learning
   • Reinforcement Learning
2. Artificial Neural Network

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Link to original note: AI-Learning ResourcesAI-Learning ResourcesTo help you gain a deep understanding of Artificial Intelligence (AI), we'll create a structured learning path based on the provided syllabus. The plan includes a detailed breakdown of each unit, along with recommendations for resources such as research papers, blogs, articles, videos, and other multimedia content. Additionally, we'll suggest methods for annotating and making notes to optimize your learning experience. Unit I - Introduction to AI * Topics1 * Learning Path1 * Multimedia Content