artificial intelligence machine learning 2019
Machine Learning is the learning in which machine can learn by its own without being explicitly programmed. It is an application of AI that provide system the ability to automatically learn and improve from experience. New ethical challenges of digital technologies, machine learning and artificial intelligence in public health: a call for papersfree download Digital […]
artificial intelligence and machine learning
Machine Learning is the learning in which machine can learn by its own without being explicitly programmed. It is an application of AI that provide system the ability to automatically learn and improve from experience. Machine Learning : An artificial intelligence methodologyfree download The problem of learning and decision making is at the core level […]
machine learning and software risk in sdlc
Risk management is an essential part for high quality software development processes. More probably Risks are events that could adversely affect the development of the projects or organization environment. Risk or Risk factor can damage critical factors such as budget, time or resources. Overview of software defect prediction using machine learning algorithmsfree downloadOverview of Software […]
software engineering in machine learning
Recent advances in machine learning have stimulated widespread interest within the Information Technology sector on integrating AI capabilities into software and services. This goal has forced organizations to evolve their development processes. We report on a study that we conducted on observing software teams at Microsoft as they develop AI-based applications. We consider a nine-stage […]
Predicting and defining b2b sales success with machine learning
Predicting and Defining B2B Sales Success with Machine Learningfree download The objectives of this project are two-fold: 1) to use statistical modeling techniques to help a Fortune 500 paper and packaging company codify what drives sales success and 2) to develop a model that can predict sales success with a reasonable degree of accuracy. The […]
machine learning mini projects
The advantage of a machine learning approach is that it is more adaptable, robust, flexible, and maintainable. Our goal is to design a feature vector representation such that it provides useful information to a learning algorithm to automatically build five classifiers, one for each question type. A Machine Learning Approach for Tracking and Predicting Student […]
machine learning platform
Machine learning platforms are for new technologist. Developers need to know how and when to harness their power. Working within the ML landscape while using the right tools can make it easier for developers to create a productive algorithm that taps into its power. machine learning platforms and tools are available now as resources to […]
Decision trees machine learning
Decision trees : a machine learning methodology for characterizing morphological patterns resulting from ecological adaptationsfree downloadCertain morphological features make it possible to infer the ecology of extinct species. Ecological adaptations be better characterised, however, by complex morphological patterns that correspond to different regions of the multidimensional theoretical Neural Network Based Decision Trees using Machine Learning […]
gradient boosting-machine learning
Xgboost: extreme gradient boosting free downloadThis is an introductory document of using the xgboost package in R. xgboost is short for eXtreme Gradient Boosting package. It is an efficient and scalable implementation of gradient boosting framework by (Friedman)(Friedman et al.). The package Mcrank: Learning to rank using multiple classification and gradient boosting free download P […]
Support vector machines-machine learning
Efficient classification of cancer using support vector machines and modified extreme learning machine based on analysis of variance featuresfree downloadProblem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure […]