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introduction to machine learning

This class was created by Brainscape user Neil Umoh. Visit their profile to learn more about the creator.

By: Neil Umoh
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Decks in this class (19)

2-mlconcepts
No deck description has yet been added by the author.
22  cards
3-probability
No deck description has yet been added by the author.
11  cards
4-Decision Trees
No deck description has yet been added by the author.
15  cards
5-KNN
No deck description has yet been added by the author.
17  cards
6-ExactOptimisation
No deck description has yet been added by the author.
4  cards
7-Naive Bayes
No deck description has yet been added by the author.
5  cards
8-Model evaluation 1
No deck description has yet been added by the author.
27  cards
9-featureselection
No deck description has yet been added by the author.
22  cards
10-Iterative optimisation
No deck description has yet been added by the author.
5  cards
11-logistic regression
No deck description has yet been added by the author.
11  cards
12-perceptron
No deck description has yet been added by the author.
10  cards
13-neural networks
No deck description has yet been added by the author.
12  cards
14-backpropagation
No deck description has yet been added by the author.
2  cards
15-EvaluationII
No deck description has yet been added by the author.
11  cards
17-Unsupervised learning
No deck description has yet been added by the author.
21  cards
18-Semi supervised learning
No deck description has yet been added by the author.
16  cards
19-Ensembe learning
No deck description has yet been added by the author.
25  cards
20-anomaly detection
No deck description has yet been added by the author.
22  cards
21-Mitigating algorithmic bias
No deck description has yet been added by the author.
11  cards

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introduction to machine learning

  • Class purpose General learning

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