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Start 4 June 2026 17:23

Einde 4 June 2026

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A Behind the Scenes Look at ML, AI, and Deep Learning

Explore the mechanics of ML, AI, and Deep Learning, understanding their differences and inner workings. Gain fundamental knowledge to support decision-making and organizational AI initiatives.
PASS Data Community Summit via YouTube

PASS Data Community Summit

6076 Cursussen


1 hour 3 minutes

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Overzicht

Explore the mechanics of ML, AI, and Deep Learning, understanding their differences and inner workings. Gain fundamental knowledge to support decision-making and organizational AI initiatives.

Lesprogramma

  • Introduction to AI, ML, and Deep Learning
  • Definitions and Key Concepts
    Historical Overview and Evolution
    Why AI, ML, and Deep Learning Matter
  • Machine Learning: Foundations and Applications
  • Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
    Key Algorithms and Techniques
    Evaluating and Validating ML Models
  • Deep Learning: An In-depth Understanding
  • Neural Networks: Architecture and Types
    Training Deep Neural Networks
    Convolutional and Recurrent Neural Networks
  • Artificial Intelligence: Beyond Machine Learning
  • Symbolic AI vs. Connectionist AI
    Expert Systems and Rule-based Systems
    Natural Language Processing and Computer Vision
  • Tools and Frameworks
  • Overview of Popular AI and ML Libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
    Platforms for Model Deployment and Management
  • Real-world Applications and Case Studies
  • AI in Various Industries (Healthcare, Finance, Retail, etc.)
    Ethical Considerations and AI Governance
    Building AI Strategy for Organizations
  • Hands-on Workshop: Building a Simple ML Model
  • Data Preprocessing and Feature Engineering
    Model Development and Training
    Model Evaluation and Interpretation
  • Assessing Organizational Needs for AI Initiatives
  • Identifying Opportunities and Challenges
    Aligning AI Projects with Business Goals
  • Future Trends in AI and Deep Learning
  • Emerging Technologies and Innovations
    The Role of AI in Digital Transformation
  • Conclusion and Next Steps
  • Resources for Further Learning
    Initiating AI Projects and Continuous Improvement

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