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Data Mining and Machine Learning rely on statistical analysis
algorithms. Create a Power Point Presentation (with embedded
audio) that covers a select machine learning algorithm.
Your presentation will cover the following information:
What types of organizational problem(s) does this algorithm
help solve?
What type of learning is used (Supervised, unsupervised, or
semi-supervised)?
What data mining software / programming language is typically
used for this analysis?
Example analysis.
You may select from any of the following list of algorithms (or
another that you know).
K-Means Cluster Analysis
Apriori (Market Basket) Analysis
K-Nearest Neighbor (KNN)
Linear Regression
Logistic Regression
PCA (Principal Component Analysis)
Artificial Neural Network
Support Vector Machine (SVM)
Naive Bayes
Decision Tree (ID3)
Natural Language Processing (NLP)
NEED in APA format with citation and reference.

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Data Mining and Machine Learning rely on statistical analysis  a.docx

  • 1. Data Mining and Machine Learning rely on statistical analysis algorithms. Create a Power Point Presentation (with embedded audio) that covers a select machine learning algorithm. Your presentation will cover the following information: What types of organizational problem(s) does this algorithm help solve? What type of learning is used (Supervised, unsupervised, or semi-supervised)? What data mining software / programming language is typically used for this analysis? Example analysis. You may select from any of the following list of algorithms (or another that you know). K-Means Cluster Analysis Apriori (Market Basket) Analysis K-Nearest Neighbor (KNN) Linear Regression Logistic Regression
  • 2. PCA (Principal Component Analysis) Artificial Neural Network Support Vector Machine (SVM) Naive Bayes Decision Tree (ID3) Natural Language Processing (NLP) NEED in APA format with citation and reference.