Beschreibung
As the amount of data generated by the typical modern business increases, so does the prominence of data scientists hired by organizations to help them turn raw data into valuable business information. Data scientists must possess a combination of analytics, machine learning, data mining, and statistical skills, as well as experience with algorithms and coding. Along with managing and interpreting large amounts of data, many data scientists are also tasked with creating data visualization models that help illustrate the business value of digital information. Some of these challenges are discussed here in this title.
Autorenporträt
Farrukh Arslan is an experienced Assistant Professor with a demonstrated history of working in information technology and data science in academia. He is skilled in C, Matlab, R, Data Analytics, and Machine Learning. He is a strong education professional with a Doctor of Philosophy (PhD) focused in Computer Engineering from Purdue University, USA.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
