Generations of children have read, re-read, and loved Ezra Jack Keats's award-winning, classic stories about Peter and his neighborhood friends. Now, for the first time, Peter's Chair, A Letter to Amy , and Goggles! are available in paperback exclusively from Puffin. "A more charming or contemporary child than Peter...is hard to bring to mind." -- Library Journal

At the end of a street, in a little village, is Peter's house. It's an old, falling down house. But Peter helps everyone: mending things, building toy boats, and telling stories. Will anyone help him when an official says his house must be pulled down? This is a wonderful, charming story in the best tradition of Elsa Beskow's Swedish tales, as all the children in the village ra...(展开全部)

安娜·加瓦尔达，法国当红女作家，1970年生于巴黎，29岁时她的第一部短篇小说集《我希望有人在什么地方等我》（中译本已由漓江出版社出版）创下了100多万册的销售佳绩，使她从一个平凡的中学教师一跃成为法国光芒四射的明星作家，再次把灰姑娘变公主的童话变成了现实。出书前她在文学界没有任何关系，也不在巴黎生活，却凭借一部短篇小说集征服了千千万万的法国读者。

安娜·加瓦尔达，法国当红女作家，1970年生于巴黎，29岁时她的第一部短篇小说集《我希望有人在什么地方等我》（中译本已由漓江出版社出版）创下了100多万册的销售佳绩，使她从一个平凡的中学教师一跃成为法国光芒四射的明星作家，再次把灰姑娘变公主的童话变成了现实。出书前她在文学界没有任何关系，也不在巴黎生活，却凭借一部短篇小说集征服了千千万万的法国读者。

Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking.The Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You'll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. It will also ensure that you don't miss out on key topics, such as like resampling methods. As you progress, you’ll get a better understanding of bagging, boosting, stacking, and working with the Random Forest algorithm using real-world examples. The book will highlight how these ensemble methods use multiple models to improve machine learning results, as compared to a single model. In the concluding chapters, you'll delve into advanced ensemble models using neural networks, natural language processing, and more. You’ll also be able to implement models such as fraud detection, text categorization, and sentiment analysis.By the end of this book, you'll be able to harness ensemble techniques and the working mechanisms of machine learning algorithms to build intelligent models using individual recipes.

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and th...(展开全部)

Now available in a single paperback, this edition of Russell's Autobiography includes an introduction by scholar Michael Foot exploring the status of this classic nearly 30 years after the publication of its last volume.

在线阅读本书 Few philosophers have had a more profound influence on the course of modern philosophy than Bertrand Russell. The Basic Writings of Bertrand Russell is a comprehensive anthology of Russell’s most definitive essays written between 1903 and 1959. First published in 1961, this remarkable collection is a testament to a philosopher whom many consider to be one of the most...(展开全部)