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Samouczki z uczenia maszynowego
Poznaj wskazówki i dobre praktyki dotyczące AI i uczenia maszynowego, rozwijaj kompetencje i buduj kulturę pracy z danymi. Dowiedz się z naszych samouczków, jak maksymalnie wykorzystać modele uczenia maszynowego.
Inne tematy:
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An Introduction to Statistical Machine Learning
Discover the powerful fusion of statistics and machine learning. Explore how statistical techniques underpin machine learning models, enabling data-driven decision-making.
16 grudnia 2024
An Introduction to SHAP Values and Machine Learning Interpretability
Machine learning models are powerful but hard to interpret. However, SHAP values can help you understand how model features impact predictions.
28 czerwca 2023
Seeing Like a Machine: A Beginner's Guide to Image Analysis in Machine Learning
Discover how computers ‘see’ and interpret images, techniques used to manipulate images, and how machine learning has changed the game.
9 czerwca 2023
Containerization: Docker and Kubernetes for Machine Learning
Unleashing the Power of Docker and Kubernetes for Machine Learning Success
30 maja 2023
Explainable AI - Understanding and Trusting Machine Learning Models
Dive into Explainable AI (XAI) and learn how to build trust in AI systems with LIME and SHAP for model interpretability. Understand the importance of transparency and fairness in AI-driven decisions.
10 maja 2023
Converting Speech to Text with the OpenAI Whisper API
Discover the powerful capabilities of OpenAI Whisper Python API for transcription and translation. It comes with multi-language support and prompt enhancement for accurate transcription.
20 kwietnia 2023
Docker for Data Science: An Introduction
In this Docker tutorial, discover the setup, common Docker commands, dockerizing machine learning applications, and industry-wide best practices.
27 stycznia 2023
Association Rule Mining in Python Tutorial
Uncovering Hidden Patterns in Python with Association Rule Mining
23 stycznia 2023
Precision-Recall Curve in Python Tutorial
Learn how to implement and interpret precision-recall curves in Python and discover how to choose the right threshold to meet your objective.
19 stycznia 2023
An Introduction to Hierarchical Clustering in Python
Understand the ins and outs of hierarchical clustering and its implementation in Python
19 stycznia 2023
Understanding Data Drift and Model Drift: Drift Detection in Python
Navigate the perils of model drift and explore our practical guide to data drift monitoring.
25 maja 2026
A Complete Guide to Data Augmentation
Learn about data augmentation techniques, applications, and tools with a TensorFlow and Keras tutorial.
3 marca 2026