In this section, we use the open data SFMTA Bikeway Network at San Francisco Data. The data include the network of bike routes, lanes, and paths around the city of San Francisco. Maintained by the ...

Data cleaning, sometimes referred to as data munging or exploratory data analysis, explains the process of examining raw data and condensing it down to a more usable form.

It’s time for the music industry to shift from endless data clean-up to a strategy of quality at the source, and transform data from a liability into a reliable asset. The following comes from Natalie ...

Do data scientists really squander the bulk of their time cleaning data sets? Not necessarily - but for robust machine learning models, we do need better data management platforms.

But, as a new survey of data scientists and machine learners shows, those expectations need adjusting, because the biggest challenge in these professions is something quite mundane: cleaning dirty ...

Fractured and incomplete datasets are a key barrier towards effectively training AI models for deployment in healthcare settings.

Coursera offers a variety of training options for the growing data professional. Explore top data science courses from Coursera now.

American companies need new strategies for talent acquisition in data science and analytics.

Any process that involves the making of a prediction involves AI, and it is data scientists who create the algorithms that drive the underlying intelligence of these prediction processes.