AI News, Machine Learning FAQ
- On Thursday, June 7, 2018
- By Read More
Machine Learning FAQ
Now, the “traditional” programming approach would be to look at some example emails (and/or use your “domain knowledge”) to come up with a chain of rules like “if this email contains word X, label it as spam, else if email contains …” Now, machine learning algorithms help you formulating these rules.
The typical skills of a data scientists are Where machine learning – at its core – is about the use and development of these learning algorithms, data science is more about the extraction of knowledge from data to answer particular question or solve particular problems.
Machine learning is often a big part of a “data science” project, e.g., it is often heavily used for exploratory analysis and discovery (clustering algorithms) and building predictive models (supervised learning algorithms).
- On Thursday, June 20, 2019
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