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Develop an AI

Track :

Programming

Lessons no : 11

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What will you learn in this course?
  • Design and implement machine learning algorithms for classification and regression tasks using real-world data
  • Apply data preprocessing techniques to improve AI model accuracy and efficiency in machine learning projects
  • Evaluate and optimize machine learning models for better performance and predictive accuracy in AI systems
  • Utilize popular programming languages and tools to develop and deploy AI algorithms effectively
  • Identify suitable machine learning algorithms based on problem type and data characteristics in AI development
  • Troubleshoot common issues in AI model training, including overfitting, underfitting, and data imbalance
  • Integrate machine learning models into larger AI systems for practical applications and automation
  • Analyze model results to make data-driven decisions and improve AI system outcomes

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Lessons | 11


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A machine learning algorithm is the method by which the AI system conducts its task, generally predicting output values from given input data. The two main processes of machine learning algorithms are classification and regression .