A breakthrough programfor achieving new heights of trading success The product of a five-year collaboration between Dr. Ari Kiev, a leading psychiatrist renowned for his success with Olympic athletes, and top equities trader Steve Cohen, Trading to Win gives you the essential tools to overcome outmoded, self-limiting beliefs and mindsets that may be keeping you from a higher le...(展开全部)

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and appli...(展开全部)

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.

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform t...(展开全部)

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform t...(展开全部)

With the low cost of modern computer hardware and software combined with the communication of price data via satellite, a new and rapidly expanding market of traders using computers has developed. This essential book bridges the gap between the basic instruction that comes with software programs and what a trader actually needs to know to develop and text profitable futures tra...(展开全部)

布莱恩·克里斯汀（Brian Christian），《华尔街日报》畅销书《最有人性的人》作者，该书入选《纽约时报》编辑推荐书目，被《纽约客》杂志评为年度好书。他的多篇作品先后刊登在《纽约客》《大西洋》《连线》《华尔街日报》《卫报》《巴黎评论》及《认知科学》等杂志上，被翻译成11种语言。 汤姆·格里菲思（Tom Griffiths），加州大学伯克利分校心理学和认知科学教授，计算认知科学实验室主任。格里菲思发表过150多篇科学论文，内容涉及认知心理学、文化演进等，受到美国国家科学基金会、斯隆基金会、美国心理学会和心理环境学会等颁发的各类奖项。

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much...(展开全部)

本书为公版书，为不受著作权法限制的作家、艺术家及其它人士发布的作品，供广大读者阅读交流。汇聚授权电子版权。