BRIGHTCODE – Michał Żarnecki Portfolio

Hi, I'm Michał Żarnecki — Programmer, Machine Learning Specialist, and Educator. I specialize in building innovative systems and solutions at the intersection of artificial intelligence, machine learning, and data-driven technologies. With a strong foundation in Python and PHP, my work focuses on delivering impactful results and web based systems in areas such as data mining, big data, and natural language processing. On this website you can check some of my projects and recent activity.

E-learning course: Machine learning – how to use the potential of data to get better results and make smart decisions

Posted on 3 January 2024  in lectures

  1. Definition and applications of machine learning
    • Data deluge and the definition of machine learning
    • Machine learning examples and related fields of knowledge
    • Types of machine learning
  2. Machine learning tools used in the course
    • Programs used in the course
    • Orange Data Mining
    • Jupyter Lab
  3. Supervised machine learning
    • Machine learning process
    • Data collection, labeling and analysis
    • Feature engineering and division into training and testing sets
    • Model training and evaluation
    • Model export, corrective actions
    • Regression example
    • Classification example
    • K-nearest neighbors
    • Support vector machine method
    • Decision trees and random forests
    • Linear regression – learning process
    • Logistic regression
  4. Unsupervised machine learning
    • K-means
    • Principal component analysis
  5. Reinforcement learning
    • Examples of reinforcement learning
  6. Forecasting
    • Forecasting definition
    • Time series processing example
  7. Natural language processing
    • Natural language definition
    • Example of text normalization and tokenization
    • Text classification example
  8. Text data analysis
    • Recognizing named entities
    • Marking parts of speech and parts of a sentence
    • Detecting relationships between words
    • Sentiment analysis
    • Topic modeling
  9. Artificial neural networks
    • Definition of artificial neural networks
    • An example of a shallow neural network
    • How machines learn – gradient descent
  10. Large text models
    • Large text models, transformers
    • Prompt engineering
    • Example of generating and translating texts
  11. Computer vision
    • The field of computer vision
    • Face recognition – example
    • Autonomous vehicle
    • Example of training an autonomous vehicle
  12. Audio analysis
    • Analysis of sound signals
    • Audio recognition example
    • Speech recognition example
  13. Cloud solutions in machine learning
    • The use of cloud solutions in machine learning
    • Examples of cloud solutions in machine learning

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