links again

Author: cjgronlund

articles/machine-learning/how-to-select-algorithms.md

@@ -44,24 +44,24 @@ The following table summarizes some of the most important characteristics of alg
 | **Algorithm** | **Accuracy** | **Training time** | **Linearity** | **Parameters** | **Notes** |
 | --- |:---:|:---:|:---:|:---:| --- |
 | **Classification family** | | | | | |
-| [Two-Class logistic regression](algorithm-module-reference/two-class-logistic-regression?WT.mc_id=docs-article-lazzeri) |Good  |Fast |Yes |4 | |
-| [Two-class decision forest](algorithm-module-reference/two-class-decision-forest?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |5 |Shows slower scoring times. Suggest not working with One-vs-All Multiclass, because of slower scoring times caused by tread locking in accumulating tree predictions |
-| [Two-class boosted decision tree](algorithm-module-reference/two-class-boosted-decision-tree?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |6 |Large memory footprint |
-| [Two-class neural network](algorithm-module-reference/two-class-neural-network?WT.mc_id=docs-article-lazzeri) |Good |Moderate |No |8 | |
-| [Two-class averaged perceptron](algorithm-module-reference/two-class-averaged-perceptron?WT.mc_id=docs-article-lazzeri) |Good |Moderate |Yes |4 | |
-| [Two-class support vector machine](algorithm-module-reference/two-class-support-vector-machine?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |5 |Good for large feature sets |
-| [Multiclass logistic regression](algorithm-module-reference/multiclass-logistic-regression?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |4 | |
-| [Multiclass decision forest](algorithm-module-reference/multiclass-decision-forest?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |5 |Shows slower scoring times |
-| [Multiclass boosted decision tree](algorithm-module-reference/multiclass-boosted-decision-tree?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |6 | Tends to improve accuracy with some small risk of less coverage |
-| [Multiclass neural network](algorithm-module-reference/multiclass-neural-network?WT.mc_id=docs-article-lazzeri) |Good |Moderate |No |8 | |
-| [One-vs-all multiclass](algorithm-module-reference/one-vs-all-multiclass?WT.mc_id=docs-article-lazzeri) | - | - | - | - |See properties of the two-class method selected |
+| [Two-Class logistic regression](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/two-class-logistic-regression?WT.mc_id=docs-article-lazzeri) |Good  |Fast |Yes |4 | |
+| [Two-class decision forest](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/two-class-decision-forest?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |5 |Shows slower scoring times. Suggest not working with One-vs-All Multiclass, because of slower scoring times caused by tread locking in accumulating tree predictions |
+| [Two-class boosted decision tree](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/two-class-boosted-decision-tree?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |6 |Large memory footprint |
+| [Two-class neural network](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/two-class-neural-network?WT.mc_id=docs-article-lazzeri) |Good |Moderate |No |8 | |
+| [Two-class averaged perceptron](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/two-class-averaged-perceptron?WT.mc_id=docs-article-lazzeri) |Good |Moderate |Yes |4 | |
+| [Two-class support vector machine](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/two-class-support-vector-machine?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |5 |Good for large feature sets |
+| [Multiclass logistic regression](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/multiclass-logistic-regression?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |4 | |
+| [Multiclass decision forest](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/multiclass-decision-forest?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |5 |Shows slower scoring times |
+| [Multiclass boosted decision tree](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/multiclass-boosted-decision-tree?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |6 | Tends to improve accuracy with some small risk of less coverage |
+| [Multiclass neural network](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/multiclass-neural-network?WT.mc_id=docs-article-lazzeri) |Good |Moderate |No |8 | |
+| [One-vs-all multiclass](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/one-vs-all-multiclass?WT.mc_id=docs-article-lazzeri) | - | - | - | - |See properties of the two-class method selected |
 | **[Regression family]** | | | | | |
-| [Linear regression](algorithm-module-reference/linear-regression?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |4 | |
-| [Decision forest regression](algorithm-module-reference/decision-forest-regression?WT.mc_id=docs-article-lazzeri)|Excellent |Moderate |No |5 | |
-| [Boosted decision tree regression](algorithm-module-reference/boosted-decision-tree-regression?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |6 |Large memory footprint |
-| [Neural network regression](algorithm-module-reference/neural-network-regression?WT.mc_id=docs-article-lazzeri) |Good |Moderate |No |8 | |
+| [Linear regression](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/linear-regression?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |4 | |
+| [Decision forest regression](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/decision-forest-regression?WT.mc_id=docs-article-lazzeri)|Excellent |Moderate |No |5 | |
+| [Boosted decision tree regression](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/boosted-decision-tree-regression?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |6 |Large memory footprint |
+| [Neural network regression](https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/neural-network-regression?WT.mc_id=docs-article-lazzeri) |Good |Moderate |No |8 | |
 | **Clustering family** | | | | | |
-| [K-means clustering](/algorithm-module-reference/k-means-clustering?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |Yes |8 |A clustering algorithm |
+| [K-means clustering](/https://docs.microsoft.com/azure/machine-learning/algorithm-module-reference/k-means-clustering?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |Yes |8 |A clustering algorithm |
 
 ## Requirements for a data science scenario