This book was the one of the book I kept from my masters program. The way that it teaches its topic is incredibly well done. I've referenced it multiple times since then anytime that I want to do...
This book was the one of the book I kept from my masters program. The way that it teaches its topic is incredibly well done. I've referenced it multiple times since then anytime that I want to do some stat modeling.
Highly recommend it for anyone who wants to get into the field
How introductory is this book? Currently, I'm studying to pursue a career in a data-related field. So far, I have read a general introductory book on probability and statistics (which does cover...
How introductory is this book? Currently, I'm studying to pursue a career in a data-related field. So far, I have read a general introductory book on probability and statistics (which does cover up the topics presented in the mentioned book) and another one specifically focused on Bayesian analysis and Generalized linear models (Statistical Rethinking). My next plan is to delve into "The Elements of Statistical Learning," which has been recommended everywhere. After that, I intend to explore some freelancing opportunities. However, it might be beneficial to further strengthen my theoretical foundation by studying this recommended book, especially since it appears to apply the presented concepts practically with programming languages. But I fear that I could be losing some time (that I can not afford to lose) by going around the same things I've already seen...
If what you are looking for is practical applications in an actual programming language, then this is your book. I can't speak for the python version, but I know the R focused version is solid. My...
If what you are looking for is practical applications in an actual programming language, then this is your book. I can't speak for the python version, but I know the R focused version is solid. My class was primarily doing exercises from this book.
This book was the one of the book I kept from my masters program. The way that it teaches its topic is incredibly well done. I've referenced it multiple times since then anytime that I want to do some stat modeling.
Highly recommend it for anyone who wants to get into the field
How introductory is this book? Currently, I'm studying to pursue a career in a data-related field. So far, I have read a general introductory book on probability and statistics (which does cover up the topics presented in the mentioned book) and another one specifically focused on Bayesian analysis and Generalized linear models (Statistical Rethinking). My next plan is to delve into "The Elements of Statistical Learning," which has been recommended everywhere. After that, I intend to explore some freelancing opportunities. However, it might be beneficial to further strengthen my theoretical foundation by studying this recommended book, especially since it appears to apply the presented concepts practically with programming languages. But I fear that I could be losing some time (that I can not afford to lose) by going around the same things I've already seen...
If what you are looking for is practical applications in an actual programming language, then this is your book. I can't speak for the python version, but I know the R focused version is solid. My class was primarily doing exercises from this book.
I find it amusing that after all these years they'd insisted on ISL in R, they finally relented and made a python version.