
What is semi-supervised learning? - IBM
Jun 17, 2019 · Semi-supervised learning is a type of machine learning that combines supervised and unsupervised learning by using labeled and unlabeled data to train AI models.
什么是半监督学习?| IBM
半监督学习是一种结合了监督学习和无监督学习的机器学习,使用标记数据和未标记数据来训练 AI 模型。
半教師あり学習とは | IBM
半教師あり学習は、教師あり学習と教師なし学習を組み合わせた機械学習の一種で、ラベル付きデータとラベルなしデータを使用して、AIモデルをトレーニングします。
What is supervised learning? - IBM
Supervised learning is a machine learning technique that uses labeled data sets to train artificial intelligence algorithms models to identify the underlying patterns and relationships between …
Qu’est-ce que l’apprentissage semi-supervisé - IBM
L’apprentissage semi-supervisé est un type de machine learning qui combine l’apprentissage supervisé et non supervisé, en utilisant des données étiquetées et non étiquetées pour …
What is self-supervised learning? - IBM
Jan 5, 2021 · Self-supervised learning is a machine learning technique that uses unsupervised learning for tasks that conventionally require supervised learning. Rather than relying on …
Was ist halbüberwachtes Lernen? - IBM
Halbüberwachtes Lernen ist eine Art des maschinellen Lernens, bei dem überwachtes und unüberwachtes Lernen kombiniert werden, wobei gelabelte und nicht gelabelte Daten zum …
Supervised versus unsupervised learning: What's the difference?
Semi-supervised learning is a happy medium, where you use a training data set with both labeled and unlabeled data. It’s particularly useful when it’s difficult to extract relevant features from …
¿Qué es el aprendizaje semisupervisado? - IBM
El aprendizaje semisupervisado es un tipo de machine learning que combina el aprendizaje supervisado y no supervisado, utilizando datos etiquetados y no etiquetados para entrenar a …
O que é aprendizado semissupervisionado? - IBM
Aprendizado semissupervisionado é um tipo de aprendizado de máquina que combina aprendizado supervisionado e não supervisionado, usando dados rotulados e não rotulados …