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 ...

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 ...

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

This data requires effective management and analysis to acquire factual results" including the "data cleansing, data mining, data preparation, and data analysis used in healthcare applications." ...

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 ...

Organizations that wish to declutter on Digital Cleanup Day and maintain a clean and well-organized digital footprint moving forward should start with the biggest nut to crack.

While traditional data science practices have paved the way for critical insights and informed decision-making, AI has propelled the discipline into a new era of unprecedented speed, scale and ...

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