IBM S2000-027 Q&A - in .pdf

  • Exam Code: S2000-027
  • Exam Name: IBM Artificial Intelligence Fundamentals Specialty v1
  • Q & A: 0 Questions and Answers
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  • Exam Code: S2000-027
  • Exam Name: IBM Artificial Intelligence Fundamentals Specialty v1
  • Q & A: 0 Questions and Answers
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IBM S2000-027 Exam Syllabus Topics:

SectionObjectives
Topic 1: Machine Learning Fundamentals- Core ML approaches
  • 1. Unsupervised learning basics
    • 2. Supervised learning basics
      • 3. Reinforcement learning overview
        Topic 2: AI Applications and Use Cases- Industry applications
        • 1. Natural language processing applications
          • 2. AI in business and automation
            • 3. Computer vision applications
              Topic 3: Deep Learning and Neural Networks- Neural network concepts
              • 1. Training and optimization concepts
                • 2. Perceptron and layers
                  Topic 4: Introduction to Artificial Intelligence- Fundamental AI concepts and terminology
                  • 1. Types of AI systems (narrow vs general AI)
                    • 2. Definition of AI, ML, and DL
                      Topic 5: Ethics and Responsible AI- Responsible AI principles
                      • 1. Transparency and explainability
                        • 2. Bias and fairness considerations

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