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Basics of Neural Network - Perceptron Model

Dendrites : inputs going into nucleus Nucleus : does the calculationAxon : passes output to other neurons Neural Networks mimic this model Generalized

2022년 4월 10일
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Natural Language Processing

Group news articles by topic compile documents featurize documents compare the features Bag of words : Document represented as vectors \- “Blue House

2022년 4월 5일
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PCA (Principal Component Analysis)

reduce the number of variables of a data set while preserving as much information as possiblea dimensionality-reduction method which transforms a larg

2022년 4월 5일
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Support Vector Machines

Basic Concept supervised machine learning models with associated learning algorithms that analyze data and recognize patterns, used for classification

2022년 4월 4일
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K Means Clustering

an unsupervised learning algorithm that will attempt to group similar clusters together in the data.Example problems \- Cluster Customers based on Fe

2022년 4월 3일
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Decision Trees and Random Forests

Nodes \- Split for the value of a certain attributeEdges \- Outcome of a split to next nodeRoot \- The node that performs the first splitLeaves \-

2022년 4월 2일
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K Nearest Neighbors

Training Algorithm : \- Store all the dataPrediction Algorithm : \- Calculate the distance from x to all the points \- Sort the points in the data b

2022년 4월 2일
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Bias Variance Trade-off

The bias Variance trade-off is the point where we are just adding noise by adding model complexitytraining error ↓ test error ↑After bias trade-off, t

2022년 4월 1일
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Introduction to Machine Learning

1. Supervised Learning Overview

2022년 3월 30일
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