Título: Machine Learning With Boosting: A Beginner's Guide (English Edition)
Autor: Scott Hartshorn
Sinopse: Machine Learning - Made Easy To Understand If you are looking for a book to help you understand how the machine learning algorithm “Gradient Boosted Trees”, also known as “Boosting”, works behind the scenes, then this is a good book for you. Boosting is a widely used algorithm in a variety of applications, including big data analysis for industry and data analysis competitions like you would find on Kaggle. Boosting has, in fact, become one of the dominant winning algorithms on Kaggle. This book explains how Decision Trees work and how they can be used sequentially to reduce many of the common problems with decision trees, such as overfitting the training data. That method is known is Gradient Boosted Trees. Is This Book Any Good? Try A Free Sample If you're reading this book description, you are probably already interested in Machine Learning, and know that Boosting is a useful topic. So the biggest question you have is, is the book good and will it be useful for you. Reviews are one way of determining that, but what was a good or bad read for someone else might be different for you. Fortunaltely Amazon makes a free sample available, and I also have a free sample available on my blog "Fairly Nerdy". Both of those samples are approximately 10% of the book which is hopefully enough to help you decide if this is a good book for you. The sample on my blog is the first 10% of the book, I think that Amazon sometimes sends the first 10%, or sometimes sends other sections. You can get the Amazon sample by clicking "Send a free sample" on the right side of this page. You can get the free PDF sample by going to my blog "Fairly Nerdy" and clicking on the "Our Books" tab at the top of the page. (This book is about halfway down on that page) The nice thing about the sample is that it will be a fast read and give you a good high level understanding of Boosting even if you decide you don't want to dig into the details in the rest of the book
Contexto da obra
Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Machine Learning With Boosting: A Beginner’s Guide (English Edition)”, de Scott Hartshorn, publicado pela editora Amazon Servicos de Varejo do Brasil Ltda, em 2018 e com 227 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.
Editora: Amazon Servicos de Varejo do Brasil Ltda
Páginas: 227
Ano: 2018
Edição:
Linguagem: pt_BR
ISBN:
ISBN13:
Sobre a editora
Os livros da editora Amazon Servicos de Varejo do Brasil Ltda apresentam uma variedade de narrativas que transitam entre o cotidiano íntimo e conflitos pessoais intensos, muitas vezes explorando relações amorosas e desafios emocionais. O catálogo sugere um predomínio de histórias com foco em personagens jovens e adultos lidando com questões de amor, traição, descobertas e segredos, em ambientes que vão desde escolas e cidades pequenas até contextos corporativos e históricos. A linguagem tende a ser acessível, com ritmo que varia entre o envolvente e o reflexivo, e o tom ora dramático, ora leve, dependendo da trama. Há também obras que abordam temas práticos, como motivação diária e empreendedorismo, oferecendo um contraponto mais didático e direto. Essa diversidade indica um interesse editorial em alcançar leitores que busquem tanto entretenimento emocional quanto conteúdos aplicáveis à vida pessoal e profissional.
