Supervised learning encompasses diverse approaches for prediction and classification tasks, such as classification and regression.
Supervised learning, a prevalent data science and AI technique, trains models on labeled data to predict outcomes or classify new data.
TIME magazine's 2024 TIME100 AI list recognises 100 influential figures, including 15 leaders, 25 innovators, 24 thinkers, and 36 shapers.
In an exclusive interview with Gokul, we found that the human touch remains vital in navigating the complexities of software quality.
Virtual assistant AI refers to software agents that can perform tasks or services for individuals based on verbal commands or text inputs.
In this blog, we'll explore the most popular application areas for sentiment analysis and how it's transforming various industries.
Logistic regression is 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.
Predictive analytics predicts future events, helping organisations make better decisions and improve efficiency.
Predictive analytics uses data to foresee trends, guiding strategic decisions based on past patterns and driving industry transformation.
AI anomaly detection identifies data outliers, crucial for uncovering issues like fraud, malfunctions, or security breaches.
In an exclusive interview with Tech Mahindra's Gokul Choudhary, we explored the evolving role of QA(Quality Assurance) in AI.
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