18,99 €
inkl. MwSt.
Versandfertig in über 4 Wochen
9 °P sammeln
Andere Kunden interessierten sich auch für
![Big Data Approach for Anomaly Detection]( "Big Data Approach for Anomaly Detection")
Big Data Approach for Anomaly Detection23,99 €![Cloud Computing Anomaly and Threat Detection]( "Cloud Computing Anomaly and Threat Detection")
Cloud Computing Anomaly and Threat Detection36,99 €![Network Anomaly Detection by means of Machine Learning]( "Network Anomaly Detection by means of Machine Learning")
Network Anomaly Detection by means of Machine Learning26,99 €![Real-Time Anomaly Detection Over Massive Data Streams]( "Real-Time Anomaly Detection Over Massive Data Streams")
Real-Time Anomaly Detection Over Massive Data Streams24,99 €![Outlier and Anomaly Detection]( "Outlier and Anomaly Detection")
Outlier and Anomaly Detection32,99 €![Fault ¿ Tolerant Anomaly Detection System]( "Fault ¿ Tolerant Anomaly Detection System")
Fault ¿ Tolerant Anomaly Detection System26,99 €![Anomaly Detection Principles and Algorithms]( "Anomaly Detection Principles and Algorithms")
Anomaly Detection Principles and Algorithms104,99 €
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.