web lab- Git Basics,HTML/CSS,JS
Git Basics 这部分内容介绍了基本的终端操作指令和git指令，下面会列出一些个人认为有意思的指令。 git status git log git diff git checkout branch-name : 切换到存在的branch git checkout -b branch-name : 创建并切换到新branch git reset –hard ...
Sillycheese
CMU-15445-Project#2
Task #1 - Read/Write Page Guards 我们将要实现 BasicPageGuard，它存储着 BufferPoolManager 与 Page 的指针，同时可以确保 UnpinPage 当 Page out of scope 的时候可以被调用。当然，它也可以公开一个方法以便于我们手动 unpin。 在 Page 中，有相关的 latching methods。和...
Carlo Tree Search,Probability Review, Bayesian Network Representation
Monte Carlo Tree Search Two Ideas Evaluation by rollouts: play multiple games to termination from a state s (using a simple, fast rollout policy) and count wins and losses Selective search...
Sorting&Aggregation Algorithm
Sort 关系模型/SQL 是无序的 IN-MEMORY SORTING 如果数据 fit in 内存，我们可以用标准的搜索算法（比如快排） 否则，我们需要了解读写 disk pages 的 cost。 TOP-N HEAP SORT 如果查询有ORDER BY和LIMIT，则DBMS只需要去扫描数据一次来寻找top-N elements. 理想情况对于堆排：如果top-N e...
CS61C-Single Cycle CPU Control
Control and Status Registers CSRs 在 register file 中被分配（x0-x31） 被用来monitor the status and performance 上限可达4096 CSRs 不是ISA的一部分 System Instructions ecall ebreak ...
CS229-Linear Regression and Gradient Descent Lecture2
Linear Regression 选择参数是 learning algorithm 里很重要的一部分。 To perform supervised learning, we must decide how we’re going to represent functions/hypotheses h in a computer. As an initial choice, let’s ...
CS188-Search with Other Agents
Types of Games Axes 确定的还是随机的？ 游戏玩家的数量是多少？ 是否是零和游戏 当决定策略的时候是否了解游戏的全部信息 Deterministic Games States: S(start at s0) Players: 一组经常轮流的玩家 Actions：取决于玩家/状态 Transition Function：很像常规搜...
CMU-15445-Index Concurrency Control
Concurrency Control A concurrency control protocol is the method that the DBMS uses to ensure “correct” results for concurrent operations on a shared object. 分别有Logical Correctness与Physical Corre...
CS61C-Risc-V Processor Design
友情链接：MIPS指令结构 CPU Processor: active part of the computer that does all the work(data manipulation and decision-making) Datapath: portion of the Processor that contains hardware necessary to ...
cs229Lecture-1
第一节课主要做了一个课程的总体介绍，分为下面的五个大类 Supervised Learning 输出是带有标签的 Regression 输出是连续型的变量 Classification 输出是离散型的变量 Learning Theory Deep Learning Unsupervised Learning 输出是不带有标签的 Cluster Reinforce Le...