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Eden Datawize
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Coming soonArtificial IntelligenceAdvanced

Applied Machine Learning and Artificial Intelligence

Understand the fundamentals of Machine Learning and apply common algorithms to real-world use cases.

Objectives

  • Understand the main families of Machine Learning algorithms
  • Train and evaluate supervised models
  • Identify relevant AI use cases in your sector
  • Understand the ethical considerations and limitations of models

Target audience

Professionals with prior experience in data analysis or Data Science.

Prerequisites

Prior Python and statistics training, or equivalent experience.

Skills you will gain

Machine Learning algorithmsModel evaluationAI use casesAI ethics

Detailed programme

  1. Modules 1

    Machine Learning fundamentals

    Supervised learning, unsupervised learning and key vocabulary.

  2. Modules 2

    Common algorithms

    Regression, trees, random forests and k-means.

  3. Modules 3

    Model evaluation and improvement

    Metrics, overfitting and cross-validation.

  4. Modules 4

    Applied AI and ethics

    Sector use cases and ethical considerations.

Tools used

Pythonscikit-learn