Machine Learning designer provides a comprehensive portfolio of algorithms, such as [Multiclass Decision Forest](./algorithm-module-reference/multiclass-decision-forest.md?WT.mc_id=docs-article-lazzeri), [Recommendation systems](./algorithm-module-reference/evaluate-recommender.md?WT.mc_id=docs-article-lazzeri), [Neural Network Regression](./algorithm-module-reference/neural-network-regression.md?WT.mc_id=docs-article-lazzeri), [Multiclass Neural Network](./algorithm-module-reference/multiclass-neural-network.md?WT.mc_id=docs-article-lazzeri), and [K-Means Clustering](./algorithm-module-reference/k-means-clustering.md?WT.mc_id=docs-article-lazzeri). Each algorithm is designed to address a different type of machine learning problem. See the [Machine Learning designer algorithm and component reference](./component-reference/component-reference.md?WT.mc_id=docs-article-lazzeri) for a complete list along with documentation about how each algorithm works and how to tune parameters to optimize the algorithm.
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