I'm back for Machine Learning

Hi,

Long time no see.

Briefly, I plan to step into this new area, data analysis. In the past few years, I have tried Linux programming, device driver development, android application development and RF SOC development. Thus, "data analysis become my fifth experience in IT field. This is not an easy technology if I want to be outstanding in next two years. That‘s why I come back and look for the tranditional power from blog.

Time flies, I‘m no longer the young guy with full energy. The only thing I would like to say to the rookie in their early 20s is "keep early hours and make valid plan".

Good day!

Regards,

/Jeffrey

I'm back for Machine Learning

时间: 2024-10-14 20:08:14

I'm back for Machine Learning的相关文章

【机器学习实战】Machine Learning in Action 代码 视频 项目案例

MachineLearning 欢迎任何人参与和完善:一个人可以走的很快,但是一群人却可以走的更远 Machine Learning in Action (机器学习实战) | ApacheCN(apache中文网) 视频每周更新:如果你觉得有价值,请帮忙点 Star[后续组织学习活动:sklearn + tensorflow] ApacheCN - 学习机器学习群[629470233] 第一部分 分类 1.) 机器学习基础 2.) k-近邻算法 3.) 决策树 4.) 基于概率论的分类方法:朴素

Machine Learning In Action 第二章学习笔记: kNN算法

本文主要记录<Machine Learning In Action>中第二章的内容.书中以两个具体实例来介绍kNN(k nearest neighbors),分别是: 约会对象预测 手写数字识别 通过“约会对象”功能,基本能够了解到kNN算法的工作原理.“手写数字识别”与“约会对象预测”使用完全一样的算法代码,仅仅是数据集有变化. 约会对象预测 1 约会对象预测功能需求 主人公“张三”喜欢结交新朋友.“系统A”上面注册了很多类似于“张三”的用户,大家都想结交心朋友.“张三”最开始通过自己筛选的

[Machine Learning] 国外程序员整理的机器学习资源大全

本文汇编了一些机器学习领域的框架.库以及软件(按编程语言排序). 1. C++ 1.1 计算机视觉 CCV —基于C语言/提供缓存/核心的机器视觉库,新颖的机器视觉库 OpenCV—它提供C++, C, Python, Java 以及 MATLAB接口,并支持Windows, Linux, Android and Mac OS操作系统. 1.2 机器学习 MLPack DLib ecogg shark 2. Closure Closure Toolbox—Clojure语言库与工具的分类目录 3

New to Machine Learning? Avoid these three mistakes

http://blog.csdn.net/pipisorry/article/details/43973171 James Faghmous提醒机器学习初学者要避免的三方面错误,推荐阅读 New to Machine Learning? Avoid these three mistakes Common pitfalls when learning from data Machine learning (ML) is one of the hottest fields in data scien

Machine Learning - VI. Logistic Regression (Week 3)

http://blog.csdn.net/pipisorry/article/details/43884027 机器学习Machine Learning - Andrew NG courses学习笔记 Classification  0.1表示含义 denote with 0 is the negative class denote with 1 is the positive class.  Hypothesis Representation  Decision Boundary  Cost

Machine Learning第十一周笔记:photo OCR

博客已经迁移至Marcovaldo's blog (http://marcovaldong.github.io/) 刚刚完毕了Cousera上Machine Learning的最后一周课程.这周介绍了machine learning的一个应用:photo OCR(optimal character recognition,光学字符识别),以下将笔记整理在以下. Photo OCR Problem Description and Pipeline 最后几小节介绍机器学习的一个应用--photo O

[kaggle入门] Titanic Machine Learning from Disaster

Titanic Data Science Solutions¶ https://www.kaggle.com/startupsci/titanic-data-science-solutions 数据挖掘竞赛七个步骤:¶ Question or problem definition. Acquire training and testing data. Wrangle, prepare, cleanse the data. Analyze, identify patterns, and explo

An introduction to machine learning with scikit-learn

转自 http://scikit-learn.org/stable/tutorial/basic/tutorial.html#machine-learning-the-problem-setting In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than

一种压缩图片的方法---Machine learning 之 K-Means

背景描述: RGB编码:对于一个直接用24bit表示每一个而像素的图像来说,每一个pixel使用8-bit无符号整数(0-255)来表示红or绿or蓝. 压缩目的: 将128x128大小的图片由原来的24bit表示-压缩成->16bit表示每一个像素的图像. 压缩方法: 对于每一个pixel, 使用 K-Means选择16bits来表示原来的24bits.当然,具体是通过计算每一个像素空间的16bits大小的聚类来表示原来的24bits. 实现步骤: 1.将原来的128x128大小的图片读入到一

Introduction to Machine Learning

Chapter 1 Introduction 1.1 What Is Machine Learning? To solve a problem on a computer, we need an algorithm. An algorithm is a sequence of instructions that should be carried out to transform the input to output. For example, one can devise an algori