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The two commonly used regularization techniques are L1 Regularization and L2 Regularization. Through a series of recent breakthroughs deep learning has boosted the entire field of machine learning.
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In ensemble methods prediction from different machine learning models is combined to identify the most popular result.
. Now even programmers who know close to nothing about this technology can use simple. - Selection from Hands-On Machine Learning with Scikit-Learn Keras and TensorFlow 2nd Edition Book. The most commonly used ensemble methods are Bagging and Boosting.
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