说明：Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network.

说明：Sums of radial basis functions are typically used to approximate given functions. This approximation process can also be interpreted as a simple kind of neural network; this was the context in which they were originally applied to machine learning, in work by David Broomhead and David Lowe in 1988,[1][2] which stemmed from Michael J. D. Powell's seminal research from 1977

说明：吴恩达斯坦福机器学习cs229第一节习题答案python版

说明：支持向量机（Support Vector Machine, SVM）是一类按监督学习（supervised learning）方式对数据进行二元分类的广义线性分类器（generalized linear classifier），其决策边界是对学习样本求解的最大边距超平面（maximum-margin hyperplane）

说明：极限学习机Extreme learning machine负荷预测

说明：python machine learning

说明：coursera 上斯坦福大学吴文达机器学习课程的精简笔记，对machine learning 学习和入门有很大帮助。

说明：Machine Learning in Action --- Peter Harrington 纯英文原版pdf

说明：该本书是机器学习领域的经典教材，公式不多，偏理论的讲解

说明：machine learning - knn

说明：machine learning bagging

说明：support vector machine machine learning

说明：深度极限学习机也叫多层极限学习机，ML-ELM。是黄广斌等人在极限学习机ELM基础上，将其拓展为深度学习的一种模式识别方法，原文文章：Representational learning with extreme learning machine for big data。

说明：机器学习所有算法大全，python学习基础到高级，入门学习大全

说明：吴恩达新新书-Machine Learning Yearing-完整中文版-机器学习训练秘籍）

说明：machine arm PID Iterative learning control

说明：matrix cook ，学习机器学习所需的数学基础的查询书籍

说明：学生获取知识的能力是有层次的，大概分为六个层次，记忆、理解、应用、分析、综合、创造，或是记忆、理解、应用、分析、评价和创造。这六个层次里，前面三个（记忆、理解、应用）属于浅层学习能力。同样，跟它相对应的分析、评价和创造就属于深层学习能力，也叫作深度学习能力。

说明：classifier for machine learning

说明：python机器学习，基础阅读书籍，能够帮助你尽快了解机器学习，更好的掌握相关知识！

说明：riginal system is unique on this domain, because the solution for x2 in (10.4) involved the choice of the principal square root. Exercise 7(d) examines the situation that occurs if the negative square root is instead chosen in this step jd jkgg a ah