Self organizing maps
Self -and super- organizing maps in R: the Kohonen packagefree downloadIn this age of ever-increasing data set sizes, especially in the natural sciences, visualisation becomes more and more important. Self – organizing maps have many features that make them attractive in this respect: they do not rely on distributional assumptions, can handle WEBSOM self – […]
machine learning algorithms Multivariate adaptive regression
Forecasting tourism demand using time series, artificial neural networks and multivariate adaptive regression splines: evidence from Taiwanfree downloadIn the past few decades, international tourism has grown rapidly and has become a very interesting topic in tourism research. Taiwan, acting as a citizen in the global community, improved traveling facilities, and governments strong promotion has drawn […]
machine learning algorithms
Popular machine learning algorithms are Dimensionality Reduction Algorithms Regression Decision Tree SVM Naive Bayes kNN K-Means Random Forest Gradient Boosting algorithms GBM XGBoost LightGBM CatBoost A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classificationfree downloadThe identification of network applications through observation of associated packet traffic flows is vital to […]
Information Retrieval machine learning
Information retrieval systems provide access to collections of thousands, or millions, of documents, from which, by providing an appropriate description, users can recover any one. Typically, users iteratively refine the descriptions they provide to satisfy their needs, and retrieval systems can utilize user feedback on selected documents to indicate the accuracy of the description at […]
Image Recognition using machine learning
Machine learning paradigms for pattern recognition and image understandingfree downloadIn this paper some issues are considered related to the encoding of spatial information and associated perceptual learning algorithms which, it is claimed, are necessary for robust pattern and object recognition in multi-object (natural) scenes. The types of learning Machine learning technology applied to production lines: […]
Product Recommendation using machine learning
Product Recommendation using Machine Learning Algorithm-A Better Appoarchfree downloadBeing in the era of advance technology, people are more open minded and rely heavily on modern applications for buying accessories, watching movies and stuffs related to their daily needs. Due to this perpetual rise in online shopping demand and watching movies, the Product Recommendation using Machine […]
disease prediction using machine learning
The k- mean algorithm is used to predict diseases using patient treatment history and health data. Prediction using traditional disease risk model usually involves a machine learning and supervised learning algorithm which uses training data with the labels for the training of the models. Intelligent Parkinson disease prediction using machine learning algorithmsfree downloadDiagnosis of the […]
technology behind of Google Translate
Google translate service: transfer of meaning, distortion or simply a new creation An investigation into the translation process problems at google free downloadInternet users have the choice between several machine translation services that can automatically translate a given text or website in another language. Google Translate is one of the most popular services of this […]
Dynamic Pricing using machine learning
machine learning allows businesses to implement dynamic pricing on a large scale while taking into account hundreds if not thousands of pricing factors, including price elasticity, and showing specific prices to customer segments with corresponding willingness to pay. Survey of machine learning algorithms for dynamic resource pricing in cloudfree downloadThe paper provides insights of various […]
Fraud Detection using MACHINE LEARNING
Fraud Detection Machine Learning Algorithms Using Logistic Regression: Logistic Regression is a supervised learning technique that is used when the decision is categorical. It means that the result will be either ‘fraud’ or ‘non-fraud’ if a transaction occurs. Combining data mining and machine learning for effective fraud detection free download This paper describes the automatic […]