Supervised learning is perhaps the most common form of machine learning task in use nowadays.
This form of learning makes use of a labeled training dataset to create a model that predicts a target of interest. If this line makes absolutely no sense to you, don't worry. After reading this
In the previous articles, we learned a definition of data science and why so many companies are investing in this field. We also learned about some of the most common scenarios where data science is the right tool for the job.
In this article (the last in the series) we
In the previous article, we learned what types of problems are a good fit for a data-science solution.
Now we will tackle the why: we will discuss the main reasons for using data science in the industry, and how companies benefit from using the power of data to improve their
In the previous article of the series, we answered our first question: what is data science and which contributions led to its creation?
In this article we will explore another important question:
When should I use data science?
DS has lots of incredibly useful applications in fields as diverse as
I wanted to write a series of articles that explore data-science from a high-level perspective. These articles aim to answer the following questions: