Real-time sentiment analysis refers to the process of continuously monitoring. It evaluates the sentiment or emotional tone expressed in text…
Browsing: IT Infrastructure
News and insights from the IT infrastructure industry, from telecom and fibre providers, to network operators and IP solution providers.
Sentiment analysis, a subset of natural language processing (NLP), allows organisations to extract and analyse emotions and opinions from text…
Vodacom Eastern Cape is investing R500 million ($28 million) to expand broadband and modernise infrastructure, especially in rural areas.
Intel projects its contract chip manufacturing business will generate substantial revenue by 2027, with talks underway with 12 potential customers.
OUR TAKEThis investigation could extend across the tech industry, particularly in AI, semiconductors, and hardware markets. Increased regulatory scrutiny could…
1. Statistical pattern recognition This pattern recognition approach utilises historical statistical data to learn from patterns and examples. It involves…
1. Logistic Regression Logistic regression is a classification algorithm used to estimate discrete values, typically binary, such as 0 and…
Anomaly detection is an algorithm and technique used to identify anomalies or unusual patterns in a data set.
As cyber threats become more sophisticated, the need for advanced detection mechanisms has never been greater.
Logistic regression is primarily used for binary classification tasks, predicting the probability of an outcome belonging to a particular class.
Anomaly detection methods are effective in identifying outliers, unusual patterns in data, which can be crucial for fraud detection.
Anomaly detection involves identifying unusual patterns or behaviors in network traffic that may indicate security threats.