http://stackoverflow.com/jobs/124781/principal-data-scientist-concur-technologies-inc?med=clc&ref=small-sidebar-tag-themed-python Job Description Be a core part of the Data Platform team and help deliver the promise of a better and more interesting t

微软近期Open的职位: Job Description:Extracting accurate, insightful and actionable information from data is part art and part science and full of interesting puzzles and challenges. In Office 365 business, we rely heavily on using the insights gained from d

转自– Warald (Email: iamxiaoning@gmail.com) 博客: http://www.1point3acres.com,微博:http://www.weibo.com/warald 开头:如果你极其讨厌编程.大学数学勉强合格,或者跟人交流能力巨挫,那这篇文章可能不适合你看,你也可以自动叉掉其他关于data science/scientist的文章.Warald会花一周时间集中介绍一下这门科学,用具体的例子谈一下数据科学家到底做哪些工作.读什么专业.需要什么样的技能,欢

数据科学工作者(Data Scientist) 的日常工作内容包括什么 众所周知,数据科学是这几年才火起来的概念,而应运而生的数据科学家(data scientist)明显缺乏清晰的录取标准和工作内容.即使在2017年,数据科学家这个岗位的依然显得"既性感又暧昧". 我随手搜索了几家国内国外不同领域的数据科学家招聘广告(国内:阿里巴巴,百度 | 海外: IBM,道明银行,Manulife保险),通过简单的归纳总结,我们不难发现其实岗位要求有很大的重叠部分: 学历要求:硕士以上学历,博士

From: http://nirvacana.com/thoughts/becoming-a-data-scientist/ Data Science, Machine Learning, Big Data Analytics, Cognitive Computing …. well all of us have been avalanched with articles, skills demand info graph’s and point of views on these topics

What do data scientist do? 1. Define the question 2.Define the ideal data set 3.Determine what data you can access 4.Obtain the data 5.Clean the data 6.Exploratory data analysis 7.Statistical prediction/modeling 8.Interpret results 9.Challenge result

做项目的时候看了别人的blog,决定自己也随手记录下在做项目中遇到的好的小知识点. 最近在做Udacity的Data Scientist Nano Degree Project的Customer_Segements 项目,随手记录下感觉一些挺好用的自己没注意到小细节 - 统计DataFrame中每行的缺失值: missing_value_in_row = df.shape[1] - df.counts(axis = 1) missing_value_in_col = df.shape[o] -

数据分析师(Data Analyst):负责从数据中提取出有用的信息,以帮助公司形成业务决策.工作内容包括:对数据进行提取,清洗,分析(用描述统计量,趋势分析,多维度分析,假设检验等统计常用方法对数据进行分析),总结结论并提出建议.数据分析师通常从业务团队那里获取需要分析的具体问题,并提供相应的解决方案.高级数据分析师还需要了解各种模型(如线性回归,决策树等),并能调包实现这些模型. 需要掌握的技能有:熟悉业务,会使用excel,ppt等基本工具,了解统计分析方法,会使用SQL从数据库提取数据,

微软近期Open的职位: Extracting accurate, insightful and actionable information from data is part art and part science and full of interesting puzzles and challenges. In Office 365 business, we rely heavily on using the insights gained from data to guide fea

2016-05-02开始决定好好记录一切有关<数据科学家>的学习过程.记录学习笔记. ------------------------------------------------------------------------------------------------- 第一部分:14年跟百度T7师兄学了一段时间的机器学习基础知识.Java实现基础算法.复习一遍基础知识. --------------------------------------------------------

http://blog.deepgram.com/how-to-get-a-job-in-deep-learning/ How to Get a Job In Deep Learning 22 SEPTEMBER 2016 If you’re a software engineer (or someone who’s learning the craft), chances are that you’ve heard about deep learning (which we’ll someti

微软近期Open的职位: Title: Principal Dev Manager Location: Beijing The R&D of Shared Data Platform at Search Technology Center Asia aims to build a unified data platform encompassing users, advertisers, search engine, and office365. We are able to process a

微软近期Open的职位: Title: Principal DEV Manager for Bing ClientGroup: Search Technology Center Asia, BingWork Location: Beijing/Suzhou, China Group OverviewSearch Technology Center Asia (STCA)STCA was founded in year 2005 and is now starting the second "Fi

I joined Analytics Vidhya as an intern last summer. I had no clue what was in store for me. I had been following the blog for some time and liked the community, but did not know what to expect as an intern. The initial few days were good – all the in

Spark is a compelling multi-purpose platform for use cases that span investigative, as well as operational, analytics. Data science is a broad church. I am a data scientist — or so I’ve been told — but what I do is actually quite different from what

Are you a interested in taking a course with us? Learn about our programs or contact us at hello@zipfianacademy.com. There are plenty of articles and discussions on the web about what data science is, what qualitiesdefine a data scientist, how to nur

Post Date: September 3, 2014By: Stephanie Miller Marty Rose, Data Scientist in the Acxiom Product and Engineering group, and an active member of the DMA Analytics Council shared the following list of data science books with the Council this week, and

Seven Python Tools All Data Scientists Should Know How to Use If you’re an aspiring data scientist, you’re inquisitive – always exploring, learning, and asking questions. Online tutorials and videos can help you prepare you for your first role, but t

http://blog.csdn.net/pipisorry/article/details/44245575 关于怎么学习python,并将python用于数据科学.数据分析.机器学习中的一篇非常好的文章 Comprehensive learning path – Data Science in Python 深度学习路径-用python进行数据学习 Journey from a Pythonnoob(新手) to a Kaggler on Python So, you want to bec

数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)的区别是什么? 数据科学(data science)和商业分析(business analytics)之间有什么关系? 本来我以为不需要解释这个问题的,到底数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)有什么区别,但是前几天因为有个学弟问我,我想了想发现我竟然也回答不出来,我在知乎和博客上查了查这个问题,发现还没有人写过比较详细和有说服力的对比