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The engines of AI: Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem. ....

New York , United States , New York City , Nearest Neighbors , Vector Quantization , Vector Machines , Random Forest Classifier , Google Cloud ,

Python for Data Analysis: Machine Learning Using Scikit-Learn with Python workshop

Python for Data Analysis: Machine Learning Using Scikit-Learn with Python workshop
uiowa.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from uiowa.edu Daily Mail and Mail on Sunday newspapers.

University Of Iowa , Interactive Data Analytics Service , Gaussian Naive Bayes , Gaussian Naive Bayes Classification , Nearest Neighbors , K Means Clustering , Spectral Clustering ,

Python for Data Analysis: Machine Learning Using Scikit-Learn with Python workshop

Python for Data Analysis: Machine Learning Using Scikit-Learn with Python workshop
uiowa.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from uiowa.edu Daily Mail and Mail on Sunday newspapers.

University Of Iowa , Interactive Data Analytics Service , Gaussian Naive Bayes , Gaussian Naive Bayes Classification , Nearest Neighbors , K Means Clustering , Spectral Clustering ,

"Early detection of Diabetes using Machine Learning Techniques" by Atef Hadi Ataya

Diabetes is understood to be an ailment where the human being system's blood sugar amounts tend to be unusually higher. It's acknowledged all over the globe among the long-term problems. Diabetes prevents your body's capability to help to make insulin, leading to extreme blood sugar levels as well as gluconeogenesis abnormalities. A lot of women are influenced by gestational diabetes, the industry type of diabetes occurring throughout being pregnant. Ladies tend to be more likely compared to guys to build up diabetes-related difficulties, as well as women that are pregnant may create gestational diabetes throughout their pregnancy. The recent advancement of Machine learning (ML) provides a significant part in illness detection and prediction upon many phenomena. This makes ML great techniques to predict diabetic disease prediction. This research chose the well-known Logistic Regression (LgR), k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), Random Forests (RF), ....

Logistic Regression , Nearest Neighbors , Support Vector Machine , Random Forests , Artificial Intelligence , Disease Detection , Machine Learning ,