Michał Żarnecki Portfolio

I'm a programmer and lecturer. My work is related to programming in Python/PHP/JavaScript and designing systems and solutions related to AI/machine learning, data mining, big data and natural language processing.

Category: events

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.

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Category: events

PHPers Summit Conference 27.05.2023 Poznań

Posted on 27 May 2023  in events

Lecture: Exploring the viability of PHP for implementing artificial neural networks: A case study on autonomous vehicle control with CNN model

Abstract: In recent years, machine learning has become an essential tool for developing intelligent systems. With the rise of artificial neural networks, programming languages such as Python and R have become the go-to options for machine learning implementation. But is PHP a viable alternative? In this presentation, we will explore the potential of PHP for implementing artificial neural networks by examining its limitations compared to other popular languages. We will also demonstrate the application of machine learning in PHP through a case study where we trained a convolutional neural network model to control a prototype of an autonomous vehicle using Raspberry Pi and Nvidia’s “DAVE 2” CNN model architecture.

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