DeweyMao

Artificial Intelligence A Modern Approach3rd Ed

Inwhichwetrytoexplainwhyweconsiderartificialintelligencetobeasubjectmostworthyofstudy,andinwhichwetrytodecidewhatexactlyitis,thisbeingagoodthingtodeci

The C++Programming Language4th Edition

Allproblemsincomputersciencecanbesolvedbyanotherlevelofindirection,exceptfortheproblemoftoomanylayersofindirection.

The Definitive Guide To MySQL53rd Ed

Thisbookprovidesacompleteapplication-andexample-orientedintroductiontothedatabasesystemMySQL.NopreviousknowledgeofSQLordatabasedesignisassumed.

东方证券_ 因子选股系列研究之二十八用机器学习解释市值特异市值因子

Orient Securities - "Twenty-eight Researches on Factor Selection Series": Using Machine Learning to Explain Market Value, Specific Market Factor

华泰证券_华泰人工智能系列之七人工智能选股之Python实战

介绍Python安装方法、与机器学习相关的包以及常用命令Python语言是目前机器学习领域使用最广泛的编程语言之一，拥有众多优秀的包和模块，并且相对简单易学。我们将简单介绍Python语言的特性，常用命令，以及和机器学习相关的包，例如NumPy，pandas，scikit-learn等，希望帮助有一

RealWorldFunctionalProgramming

Thisbookisdifferentfrommanyotherprogrammingbooksavailabletoday.Itdoesn’tfocusonlyonaspecificprogramminglanguageorlibrary.Instead,itusesthepresentedlan

MySQLAdministratorsBible

Welcome to the MySQL Administrator’s Bible. Like all books in the Bible series, you can expect to find both hands-on tutorials and real-world practica

华泰证券_人工智能系列之六人工智能选股之Boosting模型

报告对各种Boosting 集成学习模型进行系统测试 Boosting 集成学习模型将多个弱学习器串行结合，能够很好地兼顾模型的 偏差和方差，该类模型在最近几年获得了长足的发展，主要包括AdaBoost、 GBDT、XGBoost。本篇报告我们将对这三种Boosting 集成学习模型进行 系统性的测