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摘要: Types of Question "Doing data analysis requires quite a bit of thinking and we believe that when you’ve completed a good data analysis, you’ve spent m 阅读全文
posted @ 2020-03-27 17:16 keeps_you_warm 阅读(147) 评论(0) 推荐(0) 编辑
摘要: DATA FLOW: the flow of data between systems; the automated and managed flow of information between systems, since enterprises had more than one system 阅读全文
posted @ 2020-03-25 18:57 keeps_you_warm 阅读(210) 评论(0) 推荐(0) 编辑
摘要: Preliminaries Review and renew your literature search. (before writing) Determine who your audience is. what kind of paper is it research, review, tut 阅读全文
posted @ 2020-03-24 15:59 keeps_you_warm 阅读(255) 评论(0) 推荐(0) 编辑
摘要: ETL, extract, transform, load, three database functions that are combined into one tool to pull data out of one database and place it into another dat 阅读全文
posted @ 2020-03-12 00:01 keeps_you_warm 阅读(101) 评论(0) 推荐(0) 编辑
摘要: numerical integration, 数值积分。numerical integration refers to methods in which the integral over continuous function is evaluated by computing the value 阅读全文
posted @ 2020-03-06 21:06 keeps_you_warm 阅读(119) 评论(0) 推荐(0) 编辑
摘要: ppa: power purchase agreement Renewable energy is energy that is collected from renewable resources, which are naturally replenished on a human timesc 阅读全文
posted @ 2020-03-04 17:17 keeps_you_warm 阅读(117) 评论(0) 推荐(0) 编辑
摘要: 贝叶斯推断(英语:Bayesian inference)是推论统计的一种方法。这种方法使用贝叶斯定理,在有更多证据及信息时,更新特定假设的概率。p(θ|y) or p( ̃y|y) 如何理解 95% 置信区间? 很多答案当中用关于真值的概率描述来解释置信区间是不准确的。我们平常使用的频率学派(fre 阅读全文
posted @ 2020-03-03 03:41 keeps_you_warm 阅读(163) 评论(0) 推荐(0) 编辑
摘要: Waiting list: basic knowledge: http://adamlineberry.ai/vae-series/vae-code-experiments 阅读全文
posted @ 2020-02-27 16:36 keeps_you_warm 阅读(73) 评论(0) 推荐(0) 编辑
摘要: Basic knowledge: 1. Class VS Instance; class Student(object): def __init__(self, name, score): self.__name = name self.__score = score def print_score 阅读全文
posted @ 2020-02-26 23:39 keeps_you_warm 阅读(150) 评论(0) 推荐(0) 编辑
摘要: python中的装饰器分为两类:函数装饰器和类装饰器. here and here2 阅读全文
posted @ 2020-02-22 18:44 keeps_you_warm 阅读(85) 评论(0) 推荐(0) 编辑
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