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Supervised Learning, Machine Learning Tutorial #3
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In diesem Video gehe ich auf das Thema Supervised Learning ein. Dabei erkläre ich, was Supervised Learning überhaupt bedeutet, welche Unterkategorien es gibt und welche Modelle verwendet werden können.
Modelle Regression:
- Lineare Regression
- Nichtlineare Regression
- Entscheidungsbaum (Decision Tree)
- Random Forrest
- Neuronales Netz
Modelle Klassifikation:
- Logistische Regression
- Support Vector Machine (SVM)
- Naive Bayes classifier
- k-Nearest Neighbors (k-NN)
- Entscheidungsbaum (Decision Tree) und Random Forrest
- Neuronales Netz
Timestamps:
0:00 Intro
0:14 Erklärung Supervised Learning
2:00 Modelle Regression
7:26 Modelle Klassifikation
14:15 Outro
Quellen:
Intro Bild: Ahmed Gad auf Pixabay (mit leichten Farbänderungen)
Meine Webseite:
Patreon:
PayPal:
Modelle Regression:
- Lineare Regression
- Nichtlineare Regression
- Entscheidungsbaum (Decision Tree)
- Random Forrest
- Neuronales Netz
Modelle Klassifikation:
- Logistische Regression
- Support Vector Machine (SVM)
- Naive Bayes classifier
- k-Nearest Neighbors (k-NN)
- Entscheidungsbaum (Decision Tree) und Random Forrest
- Neuronales Netz
Timestamps:
0:00 Intro
0:14 Erklärung Supervised Learning
2:00 Modelle Regression
7:26 Modelle Klassifikation
14:15 Outro
Quellen:
Intro Bild: Ahmed Gad auf Pixabay (mit leichten Farbänderungen)
Meine Webseite:
Patreon:
PayPal:
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