Machine Learning Yearning book by🅰️𝓷𝓭𝓻𝓮𝔀 🆖 machine-learningdeep-learningmachine-learning-courseradeeplearning-aimachine-learning-yearningandrew-ng-machine-learningandrew-ng-machine-learning-yearningdeep-learning-andrew-ng UpdatedDec 20, 2018 ...
Arthur Samuel (1959). Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed. 这个定义有点不正式但提出的时间最早,来自于一个懂得计算机编程的下棋菜鸟,编程使得计算机通过不断的对弈,不断地计算布局的好坏来“学习”,从而积累经验,这样,这个计算机程序成...
Coursera Machine Learning By Prof. Andrew Ng. Contribute to vkosuri/CourseraMachineLearning development by creating an account on GitHub.
完整代码 https://github.com/madoubao/coursera_machine_learning/tree/master/homework/machine-learning-ex3/ex3 Octave
此文是斯坦福大学,机器学习界 superstar — Andrew Ng 所开设的 Coursera 课程:Machine Learning 的课程笔记。 力求简洁,仅代表本人观点,不足之处希望大家探讨。 课程网址:https://www.coursera.org/learn/machine-learning/home/welcome Week 3: Logistic Regression & Regularization笔记:http://blog.csdn.net/iron...
https://www.coursera.org/learn/machine-learning (吴恩达老师在 Coursera 上的机器学习公开课) 不正式的趣闻前言 去年的这个时候学完了这门非常赞的入门课程,最近由于项目需要,就复习一下,复习嘛,总要参考一下笔记,可发现笔记不完善,知识点有些遗忘,所以总有磕磕绊绊。?
Coursera上斯坦福大学的机器学习编程作业 1. machine-learning-ex1 线性回归 梯度下降 正规方程 2. machine-learning-ex2 逻辑回归 正则化 3. machine-learning-ex3 多分类逻辑回归 神经网络预测(权值weights已知) 4. machine-learning-ex4 bp神经网络识别手写数字 5. machine-learning-ex5 学习曲线 验证集 ...
课程地址:https://www.coursera.org/course/ml 笔记在线阅读 Machine Learning(机器学习)是研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。它是人工智能的核心,是使计算机具有智能的根本途径,其应用遍及人工智能的各个领域,它主要使用归纳、综合而不是演...
Homework(Matlab):https://github.com/Ayatans/Machine-Learning-homework Homework(Python):https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes 1.3 监督学习 Supervised Learning 监督学习,其基本思想是,我们数据集中的每个样本都有相应的“正确答案”,再根据这些样本作出预测。
Andrew Ng(吴恩达)近日在coursera发布了一个deep learning specialization,这个系列一共有5门课,分别是 Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models 截止到我写...