TY  - BOOK
AU  - Dinov,Ivo D.
TI  - Data science and predictive analytics: biomedical and health applications using R 
SN  - 9783319723471
AV  - QA76.9.B45 D56 2018
U1  - 005.7 23
PY  - 2018///
CY  - Cham.
PB  - Springer
KW  - Computer science
KW  - Big data
KW  - Mathematical statistics
KW  - R (Computer program language)
KW  - Business & Economics
KW  - Industries
KW  - Computer Industry
KW  - bisacsh
KW  - Medical
KW  - General
KW  - Computers
KW  - Mathematical & Statistical Software
KW  - Database Management
KW  - Data Mining
KW  - Business mathematics & systems
KW  - bicssc
KW  - Medical equipment & techniques
KW  - Maths for computer scientists
KW  - Data mining
KW  - Medical records_xData processing
KW  - Databases
KW  - Electronic books
N1  - Academic; 1 Introduction.- 2 Foundations of R.- 3 Managing Data in R.- 4 Data Visualization.- 5 Linear Algebra & Matrix Computing.- 6 Dimensionality Reduction.- 7 Lazy Learning: Classification Using Nearest Neighbors.- 8 Probabilistic Learning: Classification Using Naive Bayes.- 9 Decision Tree Divide and Conquer Classification.- 10 Forecasting Numeric Data Using Regression Models.- 11 Black Box Machine-Learning Methods: Neural Networks and Support Vector Machines.- 12 Apriori Association Rules Learning.- 13 k-Means Clustering.- 14 Model Performance Assessment.- 15 Improving Model Performance.- 16 Specialized Machine Learning Topics.- 17 Variable/Feature Selection.- 18 Regularized Linear Modeling and Controlled Variable Selection.- 19 Big Longitudinal Data Analysis.- 20 Natural Language Processing/Text Mining.- 21 Prediction and Internal Statistical Cross Validation.- 22 Function Optimization.- 23 Deep Learning Neural Networks.- 24 Summary.- 25 Glossary.- 26 Index.- 27 Errata; Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK)
UR  - https://online.fliphtml5.com/lluzx/pdgn/
ER  -