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IBM S2000-027 Exam Syllabus Topics:

SectionObjectives
Ethics and Responsible AI- Responsible AI principles
  • 1. Transparency and explainability
    • 2. Bias and fairness considerations
      AI Applications and Use Cases- Industry applications
      • 1. Natural language processing applications
        • 2. Computer vision applications
          • 3. AI in business and automation
            Deep Learning and Neural Networks- Neural network concepts
            • 1. Perceptron and layers
              • 2. Training and optimization concepts
                Introduction to Artificial Intelligence- Fundamental AI concepts and terminology
                • 1. Definition of AI, ML, and DL
                  • 2. Types of AI systems (narrow vs general AI)
                    Machine Learning Fundamentals- Core ML approaches
                    • 1. Reinforcement learning overview
                      • 2. Supervised learning basics
                        • 3. Unsupervised learning basics

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