Titlebook: Data Science and Predictive Analytics; Biomedical and Healt Ivo D. Dinov Textbook 2023Latest edition The Editor(s) (if applicable) and The

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書目名稱Data Science and Predictive Analytics影響因子(影響力)




書目名稱Data Science and Predictive Analytics影響因子(影響力)學(xué)科排名




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書目名稱Data Science and Predictive Analytics網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Data Science and Predictive Analytics被引頻次學(xué)科排名




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書目名稱Data Science and Predictive Analytics讀者反饋




書目名稱Data Science and Predictive Analytics讀者反饋學(xué)科排名

debunk

不感興趣

arrhythmic

智力高

Textbook 2023Latest edition-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protoc

Libido

Libido

Basic Visualization and Exploratory Data Analytics,erent data structures, measuring sample statistics for quantitative variables, plotting sample histograms and model distribution functions, and scraping data from websites. In addition, we will cover exploratory data analytical (EDA) techniques, handling of incomplete (missing) data, and cohort-rebalancing of imbalanced groups.

最低點(diǎn)

Linear Algebra, Matrix Computing, and Regression Modeling,ession modeling, ordinary least squares estimation, and other machine learning and artificial intelligence algorithms. These techniques will be demonstrated using simulated data, observed data of baseball players, and clinical data of heart attack patients.

Expertise

foodstuff

Big Longitudinal Data Analysis,s analysis, autoregressive integrated moving average (ARIMA) models, structural equation models (SEM), linear mixed models, generalized estimating equations (GEE), recurrent neural networks (RNN), and long short-term memory (LSTM) networks.