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Popular Algorithms Applied by Supervised Machine Learning Supervised machine learning employs different algorithms to process and analyse data. Some of these most commonly applied algorithms include: Neural Networks: These algorithms mimic the human brain's structure by processing information through layers of interconnected nodes. This is learned by supervised learning, where the algorithm adjusts weights based on a loss function using gradient descent. The effectiveness of the model improves as its cost function approaches zero. Naive Bayes: Based on the Bayes theorem, these classification algorithms take the presumption of conditional independence of features. It is more often applied in text classification, spam detection, and recommendation systems. These are the three main types: Multinomial, Bernoulli, and Gaussian Naive Bayes. Linear Regression: It is used for modelling the relationship between a dependent variable and one or more independent variables. Simple linear regression deals with only one independent variable, whereas multiple linear regression deals with many more. A line of best fit is chosen through the method of least squares. Logistic Regression: The Logistic regression model is one version of linear regression models, but it is employed for binary classification problems, like spam detection. Here the dependent variable can have only two categorical outcomes such as "yes/no" or "true/false". Support Vector Machines (SVM): SVM features a hyperplane that separates data into different classes by widening the gap between data points belonging to the different categories. SVM is normally used for classification. K-Nearest Neighbor (KNN): This non-parametric algorithm classifies data points for their proximity to other data points. KNN is typically found in recommendation engines and image recognition systems. Increasingly, though, the time for processing goes up with the size of the dataset. Random Forest: This is a versatile algorithm that combines uncorrelated decision trees to increase the efficiency of classification and regression tasks. These decisions reduce variance and increase the dependability of a prediction.
Morbi pretium leo et nisl aliquam mollis. Quisque arcu lorem, ultricies quis pellentesque nec, ullamcorper eu odio. XRP's price has been showing signs of consolidation in recent days and oscillating between $2.30 and $2.50. The entire crypto market has been relatively steady, and XRP has managed to maintain its footing above $2.20. Despite the slow momentum, a technical analysis shared by the crypto analyst known as ChartNerd on X suggests that XRP could be preparing for a massive breakout that could take it from current levels toward a long-term target above $27. The analysis is supported b ...Read More >
Apple Watch's hypertension detection feature has secured FDA clearance and will roll out globally from September 15 via watchOS 26. Apple has received FDA clearance for its new hypertension alerts feature on the Apple Watch, with the rollout scheduled to begin on September 15 through watchOS 26. First announced alongside the Apple Watch Series 11 and Apple Watch Ultra 3, the feature will also be available on older models including Apple Watch Series 9 and later, as well as Apple Watch Ultra 2 a ...Read More >
By Tashwinder Singh, CEO and MD, Niyogin Fintech Limited The world of finance has been transformed by fintechs to dramatically change the interaction of a consumer with a financial service. Mobile banking, app stores, and AI investment brokerage have all done their magic on consumer financial access, charge, and personalised services. With technology advancing product innovations, all these are consolidated with a personal touch, and this has thereby brought the concept of hybrid ways for fintech, which combines efficiency-centric technologies with human empathy and expertise in customer enga ...Read More >
Bengaluru, December 3 (IANS): HealthCare Global Enterprises (HCG) on Tuesday announced a partnership with Accenture to accelerate cancer research and care through advanced AI, including generative AI and deep learning. The collaboration will combine Accenture's global expertise and talent in data and AI including AI/ML, generative AI, and quantum computing while taking deep clinical insights from HCG in oncology to enable early detection and treatment for various types of cancer. Accenture will also use advanced technologies including image analysis software, informatics, and novel algorithm ...Read More >
New Delhi, Oct 31 (SocialNews.XYZ) Tech giant Apple is planning to notify one million people about hypertension -- a high blood pressure condition impacting about 1.3 billion adults globally -- using the alert feature on Apple Watch, said CEO Tim Cook. The groundbreaking hypertension notifications feature -- available on Apple Watch Series 9, Series 11, and Apple Watch Ultra 2 and Ultra 3 -- alerts users if signs of chronic high blood pressure are detected. "With our latest Apple Watch lineup, we were proud to introduce hypertension notifications, developed using large-scale machine learning ...Read More >
Open-Source AI Tool by Yandex Detects Signs of Infant Cerebral Palsy With Over 90% Accuracy Open-Source AI Tool by Yandex Detects Signs of Infant Cerebral Palsy With Over 90% Accuracy 4 min read Last Updated : Oct 16 2025 | 2:10 PM IST PNN Mumbai (Maharashtra) [India], October 16: Yandex B2B Tech, together with the Yandex School of Data Analysis and St. Petersburg State Pediatric Medical University, has developed the world's first AI solution for assessing brain development in infants under 1 ...Read More >