423 102 5MB
English Year 2019
Report DMCA / Copyright
DOWNLOAD FILE
2,440 270 54MB Read more
3,104 555 7MB Read more
Introduction Why R? Who should read this book What you will get out of this book What you will not learn Meta-techniques
388 84 3MB Read more
964 101 1MB Read more
The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emp
1,701 352 3MB Read more
Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other lang
4,315 964 15MB Read more
"I learned a lot working through their solutions -- it's a great way to broaden and deepen your understanding
815 128 5MB Read more
Adventurers have an opportunity to chase the slavers across the coast, uncover their secret contacts, and destroy their
883 116 16MB Read more
When carefully selected and used, Domain-Specific Languages (DSLs) may simplify complex code, promote effective communic
1,127 162 4MB Read more
Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and
2,534 934 109MB Read more