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Running Start/CSB320 - Machine Learning Concepts/Class 5-14 (Natural Language Processing).md

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 - Natural language processing
 	- concerned with the interactions between computers and human languages
 	- identify the structure and meaning of words, sentences and text

Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md

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 - The average of guesses of a large number of people will typically be more accurate than an individual can be
 	- (wisdom of crowds)
 - Bootstrapping

Wiki/Machine Learning/Classification Models.md

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-#machine_learning
+#machine_learning #rs/class/csb320 
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 Classification models are meant to categorize instances into new classes based on data and training. They can be supervised (using labeled data) and unsupervised (using unlabeled data). They can also either predict classes directly or the probabilities of belonging to certain classes.

Wiki/Machine Learning/Model Validation and Evaluation.md

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-#machine_learning 
+#machine_learning #rs/class/csb320 
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 There are many ways to evaluate the performance of models. This is necessary to ensure that they are performing at an acceptable level and to help to tune them with different hyperparameters, preprocessing, data, and other pipeline changes.

Wiki/Math/Vector Basics.md

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+#rs/class/math163 #math 
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 ## Operations
 ### Projection
 $$proj_{u}v=\frac{u\cdot v}{\left|\left|u\right|\right|^{2}}u$$