Statistics with R for Machine Learning: Volume 2

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Advanced Resampling Techniques with R for Machine Learning

Inbunden, Engelska, 2025

Av Mohsen Nady

2 189 kr

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Resampling techniques are key to improving model performance and reliability in machine learning. This volume explores advanced resampling methods, including cross-validation, bootstrapping, and hyperparameter tuning, using R. Readers will learn how to apply these techniques to optimize model accuracy and prevent overfitting. Practical examples and case studies illustrate their real-world applications. This volume is an essential resource for data scientists and machine learning enthusiasts aiming to master resampling strategies.

Produktinformation

Utgivningsdatum2025-09-30
Mått152 x 229 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor185
FörlagArcler Press
ISBN9781779564719

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Systemvetenskap och AI inom Data och it

Mohsen Nady is a pharmacist with a M.D. in Microbiology and a Diploma in Industrial Pharmacy. Besides, Mohsen has more than 10 years of experience in Statistics and Data Analytics. Mohsen has applied his skills to different projects related to Genomics, Microbiology, Biostatistics, Six Sigma, Data Analytics, Data Visualization, Building Apps, Geography, Market Analysis, Business Analysis, Machine Learning, etc. Mohsen also published his thesis in a high-impact journal that attracted many citations, where all the statistical analyses were performed by him in addition to the methodological part. Furthermore, Mohsen has earned different certificates, from top universities (Harvard, Johns Hopkins, Denmark, etc) in Statistics, Data Analytics, Data Visualization, and Machine Learning that highlight his outstanding diverse skills.