Which of the following is an application of machine learning in healthcare? A. Disease diagnosis B. Drug discovery C. Patient monitoring D. All of the above 相关知识点: 试题来源: 解析 D。机器学习在医疗领域有很多应用,包括疾病诊断、药物发现和患者监测等。
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspecti...
artificial intelligence.The paper introduces the background of machine learning: the concept of machine learning,development of machine learning,method of machine learning and the application of machine learning.It presents the research aim.Finally,some future directions of machine learning research are ...
In supervised learning, a machine is trained with input data previously labeled by humans to predict the desired outcome such that it can solve classification and regression problems. However, this approach is time-consuming because it requires a considerable amount of data to be labeled manually. ...
Pump fault diagnosis is essential for the maintenance and safety of the device as it is an important appliance used in various major sectors. Fault diagnosis at the proper time can reduce maintenance costs and save energy. This article uses a Simulink mo
CopyrightbyMeiGao2015AbstractoftheThesisApplicationofmachinelearningtechniquestorecommendationsystembyMeiGaoMasterofScienceinStatisticsUniversityofCalifornia,LosAngeles,2015ProfessorYingnianWu,ChairInthispaper,Iappliedseveralmachinelearningtechniques,includingLatentDirichletallo-cation(LDA),deepConvolutionalNeuralNetworks(CNN)...
Machine learning 1. Introduction Reservoir management is defined as the utilization of available technology, financial assets, and human resources to maximize the economic recovery of a reservoir. This type of management involves a series of operations and decisions, from the initial stage of the disc...
Machine Learning is an application of artificial intelligence (AI) which provides facility to system to atomatically learn and update the knowledge from previously learned experience. Learning begins with observations, experience or pattern matching in data and making the decision making better for future...
Quick and accurate medical diagnoses are crucial for the successful treatment of diseases. Using machine learning algorithms and based on laboratory blood test results, we have built two models to predict a haematologic disease. One predictive model used
Application of Machine Learning Techniques to Paper-Author Identification ProblemYitao Li Project Report for Course TCSS 702 Institute of Technology University of Washington, Tacoma Master of Science in Computing and Software Systems Committee: Dr. Senjuti Basu Roy, Institute of Technology – Chair Dr....