Data science has moved from a niche technical discipline to a core function across industries. Organizations now rely on data-driven decision-making in areas ranging from finance and healthcare to ...
New year, new privacy rules. At least for Californians. Since Jan. 1, residents of the Golden State can use a new tool to ...
Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...
As part of CRN’s 100 Coolest Cloud Computing Companies of 2026, here’s a look at 20 innovative software companies that are ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Abstract: This paper introduces the novel concept of cost-sensitive data acquisition (CDA), a desirable addition to the data preparation process in a data science pipeline that focuses on ...
Process manufacturers and power producers are feeling the pressure of tight margins and increasing economic uncertainty. The data tools that engineers and plant operators have relied on for years are ...
Abstract: As a crucial step of machine learning, data preparation is the most time and energy consuming task for data scientists, entailing several data processing techniques to improve the ...
5 National Center for Health Insurance Research, Tehran, Iran (the Islamic Republic of) Objectives Polypharmacy, defined as the concurrent use of multiple medications, is a growing concern among the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback