9 pitfalls to avoid in building a successful machine learning program

Retrieved on: 2018-05-01 05:00:00

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Artificial intelligence

Cognition

Machine learning

Learning

Regression analysis

Statistical classification

Imputation

Outlier

K-nearest neighbors algorithm

Leakage

Training, validation, and test sets

Principal component analysis

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9 pitfalls to avoid in building a successful machine learning program. View article details on hiswai:

Excerpt

<div>During my past two decades working in the IT field, I've seen <b>artificial intelligence</b> technologies move from conceptual to practical — with machine learning techniques at the forefront, becoming more accessible, even for teams without specialized expertise. With increased use of predictive modeling ...</div>

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