machine learning
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An Introduction to Scikit Learn Ensemble Learning: Bagging and Boosting
Ensemble learning is a machine learning technique that combines the predictions of multiple machine learning algorithms to produce a better…
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Tutorial de PyTorch para Redes Neuronales Convolucionales (CNN) – Parte 1
En este tutorial vamos a aprender cómo crear una Red Neuronal Convolucional (CNN) en PyTorch. Las CNN son un tipo…
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Машинное Обучение: Scikit-learn, TensorFlow, Keras, PyTorch | Сравнение Библиотек
Машинное обучение – это одна из самых важных и перспективных областей в современном мире. Оно позволяет компьютерам обучаться на основе…
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Beginner’s Guide: Installing PyTorch 2+ on Apple M1 Device
PyTorch is a popular open-source machine learning library developed by Facebook’s AI Research lab. It provides a flexible and powerful…
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Utilizing PyTorch and Allegro Trains for Transfer Learning in Computer Vision
Transfer learning is a machine learning technique where a model trained on one task is re-purposed on a second related…
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Tutorial 3: Creating an SVC Model with Scikit-Learn
Welcome to Scikit-Learn Tutorial 3! In this tutorial, we will learn how to build a Support Vector Classifier (SVC) model…
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Building Your First Neural Network in Python and Keras: A Step-by-Step Guide
Neural networks are a powerful machine learning technique that can be used to solve a wide variety of complex problems….
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The significance of self-attention in transformer architecture
Self-attention is a crucial component in transformer architecture, playing a key role in enabling the model to efficiently capture long-range…
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Procesamiento de lenguaje natural y creación de chat bot utilizando NLTK y SciKit-Learn
El Procesamiento de Lenguaje Natural (PLN) es una rama de la inteligencia artificial que se enfoca en la interacción entre…
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🔥 Combining Weights & Biases with PyTorch
Weights & Biases is a powerful tool for tracking and visualizing machine learning experiments, and integrating it with PyTorch can…
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