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IBM A1000-144 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Evaluate Business Problem Including Ethical Implications21%- Assess progress on the AI Ladder
- Understand what data is available
- Understand ethical challenges in the business problem
- Understand business requirements
- Perform AI design thinking
Topic 2: Monitor Models in Production17%- Assess the model
- Determine whether unfair bias exists in the model
- Monitor the model in production
Topic 3: Implement the Proper Model26%- Implement supervised learning using classification
- Implement supervised learning using regression
- Implement unsupervised learning using dimensional reduction
- Implement unsupervised learning using clustering
Topic 4: Refine and Deploy the Model18%- Train the model and optimize hyperparameters
- Identify operations and transformations used for feature selection and engineering
- Configure environment specifications for model training
- Implement model explainability
- Select appropriate tools
Topic 5: Exploratory Data Analysis Including Data Preparation18%- Identify methods used to clean, label, and anonymize data
- Balance and partition data
- Visualize data

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