quantopian algorithms

Reprinted from: Http://www.cnblogs.com/shishanyuan/p/4747761.html?utm_source=tuicool1. Machine Learning Concept1.1 Definition of machine learningHere are some definitions of machine learning on Wikipedia:L "Machine learning is a science of artificial intelligence, and the main research object in this field is artificial intelligence, especially how to improve the performance of specific algorithms in experiential learning ." L "Machine learning is the

become less difficult. And this subdivision can be subdivided continuously, has been subdivided to close to 0 yuan. In this thinking process, we will solve the problem of 137 of dollars in a phased completion, and this process is called the multi-stage process . Third, the problem-solving steps (Ideas) Using the idea of dynamic programming to think from top to bottom: Transforming a multi-stage problem into a smaller multi-stage problem (state transition equation) Decompositio

The basic algorithms for load balancing are as follows (refer to F5 products): Random: Load Balancing method randomly distributes the load to each available server, selects a server by the random number generation algorithm, and sends the connection to it. While many of the balanced products support this algorithm, its effectiveness has been challenged until the server's uptime is seen to be heavy. Polling: The polling algorithm assigns each

machines, the English-supported vector machine, referred to as SV Machine (generally referred to as SVM in the paper). It is a kind of supervised learning method, which is widely used in statistical classification and regression analysis. Support Vector machines map vectors to a higher dimensional space, where a maximum interval of hyperspace is established in this space. On both sides of the super plane that separates the data, there are two super-planes that are parallel to each other. The se

I believe in the same procedure. Apes often encounter garbage collection problems in their daily work or interviews, and are there any details in the dead of the dead of night on the JVM garbage collection mechanism? It doesn't matter if you don't have time to do it, because it will be smoothed out next. I. Technical background you need to know. Second, which memory needs to be recycled? 2.1 Reference Counting algorithm 2.1.1 Algorithm Analysis 2.1.

The past year due to work, has been busy, there is no time to update some ISP algorithm, after a year of efforts, their own ISP algorithm also has a deeper understanding, so decided to recently to the ISP algorithm to share some of the understanding, for everyone to reference the study, hope to engage in this line of people useful.This paper mainly introduces one of the algorithms of ISP pipeline black level correction:It is well known that the inform

"Abstract" The maximum cutting problem (max-cut problem) is a typical NP-difficult combinatorial optimization problem. In this paper, 5 kinds of algorithms, such as genetic algorithm, distributed estimation algorithm, Hopfield network method, ant colony algorithm and particle swarm algorithm, are used to solve the maximum cutting problem, and the maximum cutting test data of different scales are tested, the influence of each parameter on the algorithm

is not a necessary condition for dynamic programming, but without this nature, the dynamic programming algorithm has no advantage over other algorithms)Iv. Basic steps of the solutionThe problem that dynamic programming deals with is a multi-stage decision-making problem, which usually starts from the initial state and reaches the end state through the choice of the intermediate stage decision. These decisions form a sequence of decisions, while defi

There are eight types of classic sorting algorithms, namely:? Bubble sort? Select sort? Insert Sort? Merge sort? Hill sort? Quick Sort? Heap Sort? Base sortWhere bubble sort, select sort, insert sort are called three basic sorts.Although the time complexity of the three basic sorting algorithms are O (N2), in fact, under discussion, there are also their own characteristics.Basic ideas:Let's say we need to s

is based on the Fermat theorem and the two-time detection theorem: Two-time detection theorem: If P is an odd prime, then the solution for X2≡1 (MODP) is x = 1 or x = p-1 (mod p) So we can turn X into the R*2^t form, where R is an oddThen we combine two algorithms fast power to stabilize O (log x) for a single judgmentBut this algorithm is a non-perfect algorithm , every time it is 25% probability is wrong, so we can choose a few numbe

MD5 (Message-digestalgorithm 5) is one of the most widely used hashing algorithms in computers. It can be used to convert data into a fixed set of values , the predecessor of which is mainly MD2, MD3 and MD4 algorithms. The MD2 algorithm was developed by Rivest in 1989 and was later discovered by Rogier and Chauvaud if the checksum was ignored and the MD2 generated a conflict. In order to enhance the securi

is not a necessary condition for dynamic programming, but without this nature, the dynamic programming algorithm has no advantage over other algorithms) Iv. Basic steps of the solutionThe problem that dynamic programming deals with is a multi-stage decision-making problem, which usually starts from the initial state and reaches the end state through the choice of the intermediate stage decision. These decisions form a sequence of decisions, whi

Today mainly talk about the common algorithm, so I Baidu a little bit into that "cool" of the know to see a look, finished, this is some god horse??? How can I not, I want is the kind of very common algorithm ah, well, virtually and deeply hurt a knife, fortunately I quickly adjust the state. I'll follow my own low, I'll take care of him. To get to the point, I'm going to say several algorithms are binary search, bubble sort and select sort. Use array

# !/usr/bin/env python#! _*_ coding:utf-8 _*_ fromQueueImportQueueImportTimeque=Queue () Time_begin=time.time ()#if a+b+c=1000, and A^2+b^2=c^2,a,b,c is the natural number, find out all the a,b,c combinations#calculating results Using enumeration method forAinchRange (1001): forBinchRange (1001): forCinchRange (1001): ifA + b + c = = 1000 anda**2 + b**2 = = C**2: Que.put ({'a'A'b': B,'C': C}) Time_end=time.time ()Print "The run time is%d and the result of the solution is a

This is a sorting algorithm of three linear time complexity, which is the first and the cardinal sort of the sort order using an operation rather than a comparison 1. IntroductionIt is an entirely different sort method from other sorting algorithms, and the other sorting algorithms are done by comparing and moving between keywords, and it is the idea of using a multi-key word.The idea of multiple keywords:

In the previous sections, we have covered what is target detection and how to detect targets, as well as the concepts of sliding windows, bounding box, and IOU, non-maxima suppression.Here will summarize the current target detection research results, and several classical target detection algorithms to summarize, this article is based on deep learning target detection, in the following sections, will be specific to each method.Before the rise of targe

The source of the original: The Snail will not stopIn this article, we can have a common sense of the commonly used algorithms of ML, no code, no complex theoretical derivation, is to illustrate, know what these algorithms are, how they are applied, examples are mainly classification problems.Each algorithm has seen several video, pick out the most clear and interesting to speak, easy to science.Then there

, went to see a bit of English to understand the topic to do.As the hint shows, the insertion, deletion, and lookup functions are re-implemented using subsequent attributes.The idea of finding the parent of node p is to get the maximal value of the subtree of P, and the successor of the node is the parent node of P. RestOperation requires the use of subsequent properties. Take insert as an example.1 voidTree_insert (tree_t *t, node_t *z) {2node_t *y =NULL;3node_t *x = t->Root;4 while(X! =NU

"HDU3549" topic Link: click hereThree methods are used, the comparison of the minimum Ek, only with 46ms."Edmonds-karp algorithm"The basis of the maximum flow algorithm, each BFS to find the shortest possible to augment, find a residual path on it. Then the residual network is augmented, do not forget the positive augmentation, the equivalent of negative reduction, but also to save records in the diagram.Finally, a cut set to get the maximum flow, the efficiency O (VE2), "Find any path" the simp

　　Some time ago to participate in the interview, the interviewer began to let me do a problem, he read, let me answer the question of time complexity and optimization, then I understand what is the complexity of time, but do not know how to calculate, a start on the wrong, and then did not then, Once I visited the blog park when I saw a blogger's article said that there is leetcode this thing, so I know the leetcode. Suddenly there is a doubt: the front-end learning algorithm? I read a blog post