mooc data analytics

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In-depth Big Data security Analytics (1): Why do I need big data security analytics?

"Foreword" After our unremitting efforts, at the end of 2014 we finally released the Big Data Security analytics platform (Platform, BDSAP). So, what is big Data security analytics? Why do you need big Data security analytics? Whe

[MOOC Notes] Chapter 1 Introduction (data structure)

, Are equivalent toBasic commands. In the progressive sense, the two are roughly the same. The main method for complexity analysis: 1. iteration: Sum of Series 2. recursion: recursive tracking + recursive equation 3. Prediction + Verification Level complexity: Arithmetic series Same level as last square Power Series Level 1 higher than power Geometric Series Same level as last Convergence level O (1) Geometric Distribution O (1)

JavaScript data type and type detection functions-MOOC ArraysSimilar programming exercises

JavaScript data type and type detection functions-MOOC ArraysSimilar programming exercisesBasic Type stringNumberBooleanFunctionUndefinedObject (null, Array, Date, window) implicit conversion with "=" num-string var str = num + ''string-num var num = str-0"=" For implicit conversion and determination (that is, to determine the value in the variable)"=" Directly determines (whether it is a thing) (NaN! = NaN

[MOOC notes] Chapter III list (data structure)

the tail node while (next = NODE.GETSUCC ())! = This.trailer) {//delete each of the same nodes if (Node.getdate (). Equals (Next.getdate ())) {This.remove (next);} else {node = next;}} Returns the scale change amount of return oldsize-this.size;}But because lists are seek location access rather than rank-and-seek access, an ordered list does not produce more efficiency in the lookup. Therefore, the lookup time complexity of the sequence table is the same as the normal list O (n).Note: This less

Chinese University mooc-Chen, He Chinming-Data structure basic problem sets 03-1. Two-part method for finding the polynomial single

, giving the interval endpoints a and B sequentially in line 2nd. The topic guarantees that the polynomial has a unique single root within a given interval. output format: Outputs the root of the polynomial within the range in a row, exactly 2 digits after the decimal point. Input Sample: 3-1-3 1-0.5 0.5 Output example: 0.33 Chinese University mooc-Chen, He Chinming-Data structure basic pr

Chinese University mooc-data Structure basic problem sets, 07-1, sorting

title Link:http://www.patest.cn/contests/mooc-ds/07-1Title Analysis: This two parts in the test of various different sorting algorithms in various data situations performance. Therefore there is no standard answer. The purpose of this post is to give the C + + implementation form of various sorting algorithms, and compare and summarize the results. Hope to bring you help . Code for various sorting algorithm

Use SharePreferences to access data (MOOC notes), sharepreferences

Use SharePreferences to access data (MOOC notes), sharepreferences 0. video address: http://www.imooc.com/video/3265 1. Use SharePreferences to access data: Public class MainActivity extends Activity {@ Override protected void onCreate (Bundle savedInstanceState) {super. onCreate (savedInstanceState); setContentView (R. layout. activity_main); SharedPreferences p

Log on to the instance and save the data (use SharedPreferences to save the user name for MOOC notes ).

Log on to the instance and save the data (use SharedPreferences to save the user name for MOOC notes ). Take notes when you perform operations after learning the video. 0. video address: http://www.imooc.com/video/3265 1. Function preview: Note: 1) enter the wrong user name and password and click log on. A prompt box is displayed, indicating "Logon prohibited "; 2) enter the correct user name and password,

China University mooc-Chen, He Chinming-data structure-2015 Autumn 02-LINEAR structure 1

The product and sum of the two unary polynomials are obtained by the design function respectively.Input format:Input is divided into 2 lines, each line is given the number of non-0 polynomial, and then the exponential degradation way to enter a polynomial non-0 coefficients and exponents (absolute value is not more than 1000 integers). The numbers are separated by a space.Output format:The output is divided into 2 rows, and the coefficients and exponents of the product polynomial and the polynom

[MOOC Notes] sorting topics (data structure)

ordering.3. Merge sortIdea: Divide the whole sequence into multiple sub-sequences, sequence the subsequence sequentially, and finally merge into an ordered sequence, with the following algorithm:/** * Merge sort, time complexity O (NLOGN) * @param arr array to sort * @param the starting position of the lo to sort interval * @param hi to the end of the sort interval */public static void MergeSort ( Int[] arr, int lo, int hi) {//If there is only one element left in the interval, the recursive if

Why the data in the Web Analytics tool is inconsistent with the PPC reporting data

If you use a pay-per-click Web site, you can generally get reports from each network. These data are often inconsistent with the data in the Web analytics tool, mainly because of the following reasons: 1. Tracking type URLs: Lost PPC clicks Tracking type URLs need to be set up in the PPC account to differentiate between natural clicks and paid clicks from searc

Data mining,machine learning,ai,data science,data science,business Analytics

What is the difference between data Mining (mining), machine learning (learning), and artificial intelligence (AI)? What is the relationship between data science and business Analytics? Originally I thought there was no need to explain the problem, in the End data Mining (mining), machine learning (machines le

Cloud computing Architecture technology and practice 20:2.4.5 Big data Analytics Cloud

2.4.5Big Data Analytics CloudCloud solutions for Big data analytics based on the overall architecture of cloud computing, as shown in2-33 .Figure 2 - - Big Data Analytics Cloud Solution Architecture Subsystem PortfolioThe Big

IBM Accelerator for Machine Data Analytics (iii) speed up machine data search

Before you start About this series One of the main advantages and strengths of IBM Accelerator for Machine Data Analytics is the ability to easily configure and customize the tool. This series of articles and tutorials is intended for readers who want to get a sense of the accelerator, further speed up machine data analysis, and want to gain customized insights

Hadoop offline Big data analytics Platform Project Combat

Hadoop offline Big data analytics Platform Project CombatCourse Learning Portal: http://www.xuetuwuyou.com/course/184The course out of self-study, worry-free network: http://www.xuetuwuyou.comCourse Description:A shopping e-commerce website data analysis platform, divided into data collection,

"Summarize" Amazon kinesis real-time data analytics best practices sharing

: The user's behavior on the internet, can affect the advertising content in real-time, the next time users refresh the page, will provide users with new ads for e-commerce : Users of each collection, click, purchase behavior, can be quickly into his personal model, immediately corrected the product recommendation for social networks : User Social map changes and speech behavior can be quickly reflected in his friend referral, hot topic reminders 2. Overview 2.1.AWS cloud

Business Intelligence = Data + Analytics + Decision + Benefits

Business Intelligence = Data + Analytics + Decision + BenefitsFirst, Background introductionThe human society, from barter to the creation of money, to a variety of transactions, has produced all kinds of commercial activities that are now flourishing and complex. Interest is the core of business, and business needs to pass through the buyers and sellers of the transaction, negotiation, and the flow of good

IBM Accelerator for Machine Data Analytics (iv)

analysis. Because of the diversity of data, rules that describe record boundaries or master timestamps may be slightly different or need to be redefined. With the help of tools, you can simplify the preparation of multiple types of tasks. Before the start of this series One of the main advantages and strengths of IBM Accelerator for Machine Data Analytics is

Big Data analytics Tools

architecture1) Data connectionSupports multiple data sources and supports multiple big data platforms2) Embedded one-stop data storage platformEthink embedded Hadoop,spark,hbase,impala and other big data platform, directly use3) Visualization of Big DataData visualization,

Big data analytics, data mining, machine learning, and finding product improvements for exploding points.

/uv Analysis (Skip) ...Finally find a friend circle to share and collect the hourly data graphThe results found that the friend circle limit flow, basically share the number of times a 15,000 is dry down. After July 14, it is completely limited to the peak of the current level.Through the above analysis, we find that the bottleneck of our system is the limit flow of the circle of friends. Solution business negotiation, or multi-domain. Is there any ot

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