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 sebastianraschka.com
Predictive modeling, supervised machine learning, and pattern classification
| | www.unite.ai
Generative vs. Discriminative Machine Learning Models - Unite.AI
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| | Some machine learning models belong to either the generative or discriminative model categories. Yet what is the difference between these two categories of models? What does it mean for a model to be discriminative or generative? The short answer is that generative models are those that include the distribution of the data set, returning a []
| | matbesancon.xyz
A Pythonic data science project: Part III | ??
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| | Learning by doing: predicting the outcome.
| | dagshub.com
How To Improve Machine Learning Model Accuracy
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| | Examine how you can improve the overall accuracy of your machine learning models so that they perform well and make reliable predictions.
| | blog.adnansiddiqi.me
The Compliance Risks of Synthetic Data Generation | Adnan's Random bytes
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| What Is Synthetic Data? Synthetic data is machine-generated data based on real-world data. It requires building a machine learning (ML) model to capture the patterns in the original, real data before generating new synthetic data based on these patterns. The generated data accurately represents the original data's statistical distributions, patterns, and properties. Synthetic data is