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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.…mehr

Produktbeschreibung
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 es un experimentado profesor asistente con un historial demostrado de trabajo con la tecnología de la información y la ciencia de los datos académicamente. Es experto en Matlab, R, Data Analytics y Data Science. Es un sólido profesional de la educación con un Doctorado en Ingeniería Informática de la Universidad de Purdue, Estados Unidos.