Practical Machine Learning with R and Python: Machine Learning in Stereo

5.0

بر اساس نظر کاربران

شما میتونید سوالاتتون در باره کتاب رو از هوش مصنوعیش بعد از ورود بپرسید
هر دانلود یا پرسش از هوش مصنوعی 2 امتیاز لازم دارد، برای بدست آوردن امتیاز رایگان، به صفحه ی راهنمای امتیازات سر بزنید و یک سری کار ارزشمند انجام بدین

کتاب های مرتبط:

This book implements many common Machine Learning algorithms in equivalent R and Python. The book touches on R and Python implementations of different regression models, classification algorithms including logistic regression, KNN classification, SVMs, b-splines, random forest, boosting etc. Other techniques like best-fit, forward fit, backward fit, and lasso and ridge regression are also covered. The book further touches on classification metrics for computing accuracy, recall, precision etc. There are implementations of validation, ROC and AUC curves in both R and Python. Finally, the book covers unsupervised learning methods like K-Means, PCA and Hierarchical clustering. The book is well suited for the novice and the expert. The first two chapters discuss the most important programming constructs in R and Python. The third chapter highlights equivalent programming phrases in R and Python. Hence, those with no knowledge of R and Python will find these introductory chapters useful. Those who are proficient in one of the language can further their knowledge on the other. Those are familiar with both R and Python will find the equivalent implementations useful to internalize the algorithms. This book should serve as a useful and handy reference for Machine Learning algorithms in both R and Python

دانلود رایگان مستقیم

برای دانلود رایگان این کتاب و هزاران کتاب دیگه همین حالا عضو بشین

نویسندگان:


نظرات:


5.0

بر اساس 0 نظر کاربران