Michał Żarnecki Portfolio

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 projects

Course scenario:

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

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AWS, CNN, langchain, LLM, Machine Learning, NER, NLP, Python, RAG, reinforcement learning, RNN, ScikitLearn, supervised ML, tensorflow, time series, unsupervised ML

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PHPCon Conference 17-18.11.2023 Zawiercie

Posted on 18 November 2023  in events

ML with PHP – replace complex business logic with machine learning models

Abstract: Have you ever encountered code with so many conditions and processing paths that it was almost impossible to maintain and extend? What if we replaced it with an automatically generated, self-improving algorithm? In recent years, machine learning as a field of artificial intelligence has become an effective tool for creating systems and applications. With the development of artificial neural networks, programming complex business rules and services based on prediction and classification can be replaced by pre-trained machine learning models. In this presentation, you will see a case study illustrating the potential of PHP in integrating machine learning. We will walk through the process of creating a classifier and placing it in a PHP-based project.

Docker, Machine Learning, NER, PHP, Python, tensorflow

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