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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

1 vote
2 answers
3k views

Are there any machine learning algorithms that focus on comparing items, rather than classif...

This is more of a hypothetical than something I'm actively trying to solve. It just struck me that a machine learning algorithm that specifically looked at two pieces of data and had to label one as g …
Ram's user avatar
  • 333
5 votes

Why Is Overfitting Bad in Machine Learning?

What got me to understand the problem about overfitting was by imagining what the most overfit model possible would be. Essentially, it would be a simple look-up table. You tell the model what attrib …
Ram's user avatar
  • 333
3 votes

How is Data Science related to Machine learning?

Data science is much more broad. It's sort of a catch-all term that right now doesn't honestly have a very clear definition. But data-science includes all of the skills and techniques required to make …