FEATURED POST Predicting dementia from speech using AI Language impairment is a sign of neurodegenerative disorders like Alzheimer’s disease (AD). Early diagnosis of AD is important for improving the quality of life for individuals with dementia, but current diagnostic methods are expensive. However, recent study has discovered the potential of using artificial intelligence (AI), specifically […]
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Predicting High Blood Pressure Using AI High blood pressure is a leading contributor to cardiovascular diseases, stroke, and chronic kidney disease, particularly in low- and middle-income countries (LMICs). As its prevalence continues to rise, innovative solutions are needed for early detection and management. A recent study has developed a machine learning model to predict high
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Predicting Anemia Level Among Pregnant Women Using AI Anemia poses significant risks to both maternal and fetal health, contributing to over 115,000 maternal deaths and 591,000 prenatal deaths annually. A recent study in Ethiopia used machine learning to predict anemia levels in pregnant women, based on data from the Ethiopian Demographic Health Survey. Among the
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Accessibility in data visualization means designing visual representations of data that can be easily understood and navigated by a wide range of users, including those with disabilities.
Data Viz and Accessibility: Designing for Inclusivity Read More »
Machine Learning algorithms enhance data analysis by efficiently processing vast data, revealing patterns and trends and enhancing decision-making.
Data modelling enables data analysts to identify and represent data structures, relationships, and patterns. To accomplish this, various data modelling tools are available, each with its strengths and capabilities.
Comparing Data Modeling Tools: A Comprehensive Guide Read More »
While bar charts and line graphs are familiar and effective, other visualization techniques can bring new levels of depth and clarity to your data analysis.
Beyond Bar Charts: Exploring Innovative Data Visualization Techniques Read More »
Machine learning frameworks play a crucial role in developing, training, and deploying machine learning models. Among the top contenders, TensorFlow and PyTorch stand out as two of the most widely used frameworks.
Comparing Popular Machine Learning Frameworks: TensorFlow vs. PyTorch Read More »
Power BI, with its user-friendly interface and robust features, allows businesses to connect and visualize data from various sources, track performance indicators, and make data-driven decisions.
A Guide to Power BI: Features, Benefits, and Use Cases Read More »
JavaScript has evolved to become a versatile language for data science. With the advent of powerful libraries and frameworks, JavaScript is now a viable option for data manipulation, visualization, and analysis.
A Guide to JavaScript Libraries for Data Science Read More »
