Predictive Modeling with Azure ML Studio
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Microsoftjwmunn
Predictive Modeling with Azure ML Studio
Azure Machine Learning features a pallets of modules to build a predictive model, including state of the art ML algorithms such as Scalable boosted decision trees, Bayesian Recommendation systems, Deep Neural Networks and Decision Jungles developed at Microsoft Research. This video walks through steps to building, scoring and evaluating a ...
Feb 23, 2022
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เอ้า โพสต์ๆ ไป๊ โพสต์ @CHERAIM (เฌอเอม) #เฌอเอมชญาธนุส #นางแบบ
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Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a. Supervised Learning Learns from labeled data. Goal: Predict output for new inputs. Common tasks: Classification, Regression. Examples: Linear Regression, Decision Trees, SVM. b. Unsupervised Learning Learns from unlabeled data. Goal: Discover hidden patterns. Common tasks: Clustering, Dimensionality Reduction. Examples: K-Means, PCA, DBSCAN. c. Semi-Supervised Learning Uses a small amount of labeled data large unlabeled data.
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Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a.
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