本站虽然是代写站，小编作为过来人，必须分享一下这种关乎健康的好事。

💬英国HPV九价25周岁以下都可以免费接种，所以一年硕还未接种的朋友也可以考虑到英国后接种！

✔️1.GP注册

一般来说GP注册比较推荐选择学校GP，但由于布大出了名的效率低下（6月提交的转GP申请，现在都没回邮件就离谱），所以还是更推荐注册校外的GP。住在市中心的同学可以优先考虑Broadmead Medical，在市中心Boots楼上，直接walk in领取表格填写即可，大约2-3周会通过。

✔️2.预约第一针

注册通过以后可以选择walk in预约或者电话预约，注意无论是哪种方式预约一定要到My GP app(p2)里面查看是否预约成功，预约成功会有显示(p3)，不要白跑一趟😷没有显示的话就再重新预约一次。

✔️3.第一针接种

Broadmead Medical在boots楼上的2nd floor，如果预约时间较早boots还没有开门可以直接跟门口security说你要去GP，会给开门进去的。在reception check in之后到旁边坐着等叫号就好了。

英国现在一般是只注射两针，间隔6个月。注射之前医生会问你需不需要发送一封定时邮件提前一个月提醒你预约第二针的slot。HPV疫苗比辉瑞和流感疫苗略疼一点，一定要记得不要空腹注射！

第一针接种完成后等着到时间预约第二针即可。虽然医生说可以boxing可以洗澡想干嘛都可以，但还是建议最好24小时内注射位置不要沾水哦。

使用 Hypothesis Test 可以科学 / Quantitative 的验证某的假设是否成立。一旦可以量化这些指标就可以与其他假设通过特定指标对比出各自的优缺点，从而科学的做出复杂决策。

PS: 由于平时在数据科学中大部分工作都可以调包完成，时间久了会忽略一些底层数学、统计知识。个人建议，如果是搞大数据模型落地或者工业实践，能看懂这些统计量就够了，如果想在科研领域有所造诣，这些基础数学、统计学才是决定你在这个行业能走多远的重要知识。

Probability
Central Tendency
Variability
Relationship Between Variables
Probability Distribution
Hypothesis Testing and Statistical Significance
Regression

用到的书是Bayesian Data Analysis Third Edition

This course introduces the Bayesian paradigm for statistical inference. Topics covered include prior and posterior distributions: conjugate priors, informative and non-informative priors; one- and two-sample problems; models for normal data, models for binary data, Bayesian linear models, Bayesian computation: MCMC algorithms, the Gibbs sampler; hierarchical models; hypothesis testing, Bayes factors, model selection; use of statistical software.

Prerequisites: A course in the theory of statistical inference, such as STAT GU4204/GR5204 a course in statistical modeling and data analysis such as STAT GU4205/GR5205.

对Bayes有初步了解的，有一定 statistics，machine learning 基础的，且对理论有兴趣的人。整体上是基于 measure-theoretical probability， 所以读者最好有一定 measure theory基础，基本上，具有数学本科三年级基础就足够了。主要内容:
Parametric Bayes and posterior consistency.
Non-parametric Bayes, including Dirichlet process prior and Gaussian process prior.
General consistency theory for non-parametric Bayes.
Reproducing kernel Hilbert space (RKHS) theory.

5 Hierarchical models

5.1 Constructing a parameterized prior distribution
5.2 Exchangeability and setting up hierarchical models
5.3 Fully Bayesian analysis of conjugate hierarchical models
5.4 Estimating exchangeable parameters from a normal model
5.5 Example: parallel experiments in eight schools
5.6 Hierarchical modeling applied to a meta-analysis
5.7 Weakly informative priors for hierarchical variance parameters
5.8 Bibliographic note
5.9 Exercises

6 Model checking

6.1 The place of model checking in applied Bayesian statistics
6.2 Do the inferences from the model make sense?
6.3 Posterior predictive checking
6.4 Graphical posterior predictive checks
6.5 Model checking for the educational testing example
6.6 Bibliographic note

1.课本概述

Cryptography Theory And Practice

这门课确实是令人抓狂，就连博士也会恐惧密码学，

七年之后，博士毕业时，或许你的这种感觉还会存在（好像什么也没学会）

学习内容和个人能力的要求来说，密码学偏基础学科，对于数学逻辑的要求比其他学科要强一些，另外密码学和IT结合紧密，所以学密码的同时还需要对于IT信息技术有一定的了解。如果要深入，必然是需要读研和读博的，如果不读研不读博，其实到时候就业的面也比较广，密码和许多行业比如金融、政务、能源、交通等行业都有比较紧密的结合。

由于属于朝阳产业，而后在这个行业内发展会比较平稳，少有机会会像互联网行业一夜暴富，但是也不会像互联网行业那样一夜裁员的事情发生。

The development and deployment of a cryptosystem must address the issue of security. Traditionally, the threat that cryptography addressed was that of an eavesdropping adversary who might intercept the ciphertext and attempt to decrypt it. If the adversary happens to possess the key, then there is nothing that can be done. Thus the main security consideration involves an adversary who does not possess the key, who is still trying to decrypt the ciphertext. The techniques used by the adversary to attempt to “break” the cryptosystem are termed cryptanalysis.
The most obvious type of cryptanalysis is to try to guess the key. An attack wherein the adversary tries to decrypt the ciphertext with every possible key in turn is termed an exhaustive key search.

2.题目例子

扫一扫又不会怀孕，扫一扫，作业无烦恼。
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1.要读的书