I promise it’s not just another “ML Article.”

Terminology:

  1. Variance: It measures how far a data set is spread out.
  2. Mean: A calculated “central” value of a set of numbers.
  3. Standard Deviation: Similar to variance, but it is the root value of the variation.
  4. The coefficient of Variation (CV): A measure of relative variability. The ratio of the standard…

I promise it’s not just another “ML Article.”

Terminology:

  1. Naive Bayes: The Naive Bayes Classifier technique derives from on the Bayesian theorem.
  2. Bayes Theorem: Bayes’ theorem is a mathematical equation used in probability and statistics to calculate the conditional probability. In other words, it is used to calculate the probability of an event based on its association with another…

I promise it’s not just another “ML Article.”

Terminology:

  1. Supervised Learning: Analyzed the dataset to produce a predicted function which will be used for forecasting new examples.
  2. Ground Truth: The actual result.
  3. Cross-Entropy: “Cross-entropy loss, or log loss, measures the performance of a classification model whose output is a probability value between 0 and 1. …

I promise it’s not just another “ML Article.”

Terminology:

  1. Supervised Learning: Analyzed the dataset to produce a predicted function to forecast new examples.
  2. Overfitting: A model that has learned ‘too much’ of the dataset. Hence, the model will not be as useful on new examples.
  3. Ground Truth: The actual result.
  4. MSE: Mean Squared Error. It’s a formula that measures…

Alex Guanga

Data Engineer @ Cherre. Mets die-hard. Hip-hop junkie.

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