Exploratory data analysis
Visualization (for exploratory data analysis and reporting)
Dashboards and metrics
Find business insights
Data-driven decision making
Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig)
Get the data themselves
Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data→join)
Build products instead of describing existing product usage
Hack
Patent writing
Detective work
Predict future behavior or performance
Write up findings in reports, presentations, and journals
Programming (proficiency in R, Python, C, Java, etc.)
Conditional probability
Optimization
Algorithms, statistical models, and machine learning
Tell and interpret stories
Ask good questions
Investigation
Research
Make inferences from data
Build data products
Find ... (查看原文)
Being humanist in the context of data science means recognizing the role your own humanity plays in building models and algorithms, thinking about qualities you have as a human that a computer does not have (which includes the ability to make ethical decisions), and thinking about the humans whose lives you are impacting when you unleash a model onto the world. (查看原文)
Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-ranging, interdisciplinary field? With this book, you’ll get...
(展开)
Data Scientist 具备的技能,这个还是蛮有用,值得修炼。 Exploratory data analysis Visualization (for exploratory data analysis and reporting) Dashboards and metrics Find business insights Data-driven decision making Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig) Get the data themselves Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data...
2015-12-17 11:38:552人喜欢
Data Scientist 具备的技能,这个还是蛮有用,值得修炼。
Exploratory data analysis
Visualization (for exploratory data analysis and reporting)
Dashboards and metrics
Find business insights
Data-driven decision making
Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig)
Get the data themselves
Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data→join)
Build products instead of describing existing product usage
Hack
Patent writing
Detective work
Predict future behavior or performance
Write up findings in reports, presentations, and journals
Programming (proficiency in R, Python, C, Java, etc.)
Conditional probability
Optimization
Algorithms, statistical models, and machine learning
Tell and interpret stories
Ask good questions
Investigation
Research
Make inferences from data
Build data products
Find ways to do data processing, munging, and analysis at scale
Sanity checking
Data intuition
Interact with domain experts (or be a domain expert)
Design and analyze experiments
Find correlation in data, and try to establish causality引自第282页
Data Scientist 具备的技能,这个还是蛮有用,值得修炼。 Exploratory data analysis Visualization (for exploratory data analysis and reporting) Dashboards and metrics Find business insights Data-driven decision making Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig) Get the data themselves Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data...
2015-12-17 11:38:552人喜欢
Data Scientist 具备的技能,这个还是蛮有用,值得修炼。
Exploratory data analysis
Visualization (for exploratory data analysis and reporting)
Dashboards and metrics
Find business insights
Data-driven decision making
Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig)
Get the data themselves
Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data→join)
Build products instead of describing existing product usage
Hack
Patent writing
Detective work
Predict future behavior or performance
Write up findings in reports, presentations, and journals
Programming (proficiency in R, Python, C, Java, etc.)
Conditional probability
Optimization
Algorithms, statistical models, and machine learning
Tell and interpret stories
Ask good questions
Investigation
Research
Make inferences from data
Build data products
Find ways to do data processing, munging, and analysis at scale
Sanity checking
Data intuition
Interact with domain experts (or be a domain expert)
Design and analyze experiments
Find correlation in data, and try to establish causality引自第282页
Data Scientist 具备的技能,这个还是蛮有用,值得修炼。 Exploratory data analysis Visualization (for exploratory data analysis and reporting) Dashboards and metrics Find business insights Data-driven decision making Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig) Get the data themselves Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data...
2015-12-17 11:38:552人喜欢
Data Scientist 具备的技能,这个还是蛮有用,值得修炼。
Exploratory data analysis
Visualization (for exploratory data analysis and reporting)
Dashboards and metrics
Find business insights
Data-driven decision making
Data engineering/Big Data (Mapreduce, Hadoop, Hive, and Pig)
Get the data themselves
Build data pipelines (logs→mapreduce→dataset→join with other data→mapreduce→scrape some data→join)
Build products instead of describing existing product usage
Hack
Patent writing
Detective work
Predict future behavior or performance
Write up findings in reports, presentations, and journals
Programming (proficiency in R, Python, C, Java, etc.)
Conditional probability
Optimization
Algorithms, statistical models, and machine learning
Tell and interpret stories
Ask good questions
Investigation
Research
Make inferences from data
Build data products
Find ways to do data processing, munging, and analysis at scale
Sanity checking
Data intuition
Interact with domain experts (or be a domain expert)
Design and analyze experiments
Find correlation in data, and try to establish causality引自第282页
3 有用 在电脑前打喷嚏 2016-07-13 05:32:41
看后依旧手无寸铁,却隐约有了去挖矿打铁器的动力。随便摘抄一段:下一代数据科学家会怎么做?1. 对一切保持怀疑态度:怀疑模型本身,模型在什么情况下会失败,如何使用,因何会被无用;2. 认识到「模型的反馈循环与潜在模型之间的博弈」
2 有用 Ecthelion 2018-04-10 05:26:33
译者也太能放飞自我了。
0 有用 俗 2021-04-01 14:28:27
卡不下去
0 有用 mouse小雅 2020-09-27 10:46:19
模型算法的干货不算太多,更偏重于数据科学相关的概念厘清和实践工作中需要注意的道德伦理问题。
0 有用 苹果大桃子 2017-03-31 21:31:00
我的数据科学开蒙。
0 有用 则成余 2022-07-10 22:56:58
很多故事,有种了解业界的感觉,但既然说得不够深,就把最简单的事情讲清楚就好,硬拉出一些公式代码反而意义不大
0 有用 QuietRG 2022-04-01 14:52:34
简单的介绍了以下DS的一些任务,描绘了这个行业的一个大致框图。
0 有用 Chloe 2022-02-07 19:48:21
很好的入门介绍
0 有用 哈德良大帝 2021-08-15 03:39:57
大致上从事数据科学的知识框架构建算是说清楚了。
0 有用 菜鸟Z 2021-06-09 00:46:29
动物书,闭眼推荐,根据自己职业需要挑着读准没错