二、机器学习工作流程 2.1 获取到的数据集介绍 2.2 数据基本处理 2.3 特征工程 2.3.1什么是特征...
作者:Peter 红色石头的个人网站: 红色石头的个人博客-机器学习、深度学习之路 系列文章: 吴恩达《Machine Learning》精炼笔记 1:监督学习与非监督学习 吴恩达《Machine Learning》精炼笔记 2:梯度下降与正规…
Explore machine learning (ML) with Python through these tutorials. Learn how to implement ML algorithms in Python. With these skills, you can create intelligent systems capable of learning and making decisions.
In Machine Learning (and in mathematics) there are often three values that interests us:Mean - The average value Median - The mid point value Mode - The most common valueExample: We have registered the speed of 13 cars:speed = [99,86,87,88,111,86,103,87,94,78,77,85,86] ...
Leverage Python' s most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models...
文章主要分为两个部分,machine learning的概述和 scikit-learn的简单介绍,两部分关系紧密,合并书写,以致整体篇幅较长,分为1、2两篇。 首先,是关于机器学习。要点如下: 1.1 机器学习三种主要方式 1.2 四大过程 1.3 python相关实现(安装包) 【1.1】 机器学习方式主要有三大类:supervised learning(监督式学习), unsuper...
MachineLearning入门-5(Python和Scipy简介) 目标: 熟悉Python基本语法 熟悉Numpy、Matplotlib、Pandas,能够阅读和编写基于python的机器学习脚本 为深入理解机器学习打下基础 Python速成 基本数据类型和赋值运算:字符串、数值、布尔类型、多变量赋值、空值。 在Python中,空格是有意义的,用来区分代码块。
Python Deep Learning: PyTorch vs Tensorflow PyTorch vs Tensorflow: Which one should you use? Learn about these two popular deep learning libraries and how to choose the best one for your project. Algorithms in Machine Learning Dive headfirst into specific Machine Learning algorithms. Get hands-on...
常见的机器学习有三种:无监督学习(Unsupervised learning,分类与回归),监督学习(Supervised learning,聚类),强化学习(Reinforcement learning,与动态环境交互)。 2 核心 对数据进行泛化,就是机器学习的核心,而泛化过程中可能出现两种错误:欠拟合和过拟合。 其中,欠拟合相对简单,因为我们很容易可以从数据拟合效果中看出是否...
Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome. Where To Start? In this tutorial we will go back to mathematics and study statistics, and how to calculate important numbers based...