As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provi...(展开全部)

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provi...(展开全部)

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David ...(展开全部)

David Spiegelhalter is a British statistician and Chair of the Winton Centre for Risk and Evidence Communication in the Statistical Laboratory at the University of Cambridge. He was also elected as President of the Royal Statistical Society for 2017-18. In addition to presenting documentaries on BBC4, he has appeared on Infinite Monkey Cage, BBC Horizon, and the Life Scientific...(展开全部)

To most of us, learning something 'the hard way' implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Many common study habits and practice routines turn out to be counterproductive....(展开全部)

To most of us, learning something "the hard way" implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the...(展开全部)

沃尔特·皮特金，曾任美国哥伦比亚大学新闻学教授，并担任过大英百科全书美国分册的主编。他14岁开始便靠给人送货来谋生，16～18岁靠帮助政府部门在底特律的波兰人居住区进行在校学生状况调查，为自己赚得了跨人大学校门所需的第一笔学费，后一直靠勤工俭学坚持自己的学业。他广泛涉猎各种知识，学习了希腊语、拉丁语、法语、德语、希伯莱语、阿拉伯语等多种语言，一直从事哲学与心理学领域的研究。他一生完成了多部著作，涉及个人成长学习、生活与心理等多个方面。《人生40才开始》这本书当年出版后即被评为《纽约时报》年度畅销书，改变了很多美国人的生活态度与人生观。

沃尔特·皮特金，曾任美国哥伦比亚大学新闻学教授，并担任过大英百科全书美国分册的主编。他14岁开始便靠给人送货来谋生，16～18岁靠帮助政府部门在底特律的波兰人居住区进行在校学生状况调查，为自己赚得了跨人大学校门所需的第一笔学费，后一直靠勤工俭学坚持自己的学业。他广泛涉猎各种知识，学习了希腊语、拉丁语、法语、德语、希伯莱语、阿拉伯语等多种语言，一直从事哲学与心理学领域的研究。他一生完成了多部著作，涉及个人成长学习、生活与心理等多个方面。《人生40才开始》这本书当年出版后即被评为《纽约时报》年度畅销书，改变了很多美国人的生活态度与人生观。

Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight.This second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation across the areas of supervised, semi-supervised, and reinforcement learning. Once the core concepts of an algorithm have been covered, you’ll explore real-world examples based on the most diffused libraries, such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture.By the end of this book, you will have studied machine learning algorithms and be able to put them into production to make your machine learning applications more innovative.

In The Art and Science of Java, Stanford professor and well-known leader in CS Education Eric Roberts emphasizes the student-friendly exposition that led to the success of The Art and Science of C. By following the recommendations of the Association of Computing Machinery's Java Task Force, this first edition text adopts a modern objects-first approach that introduces students ...(展开全部)