gamestop microsoft points

requirements, under 0.1, we continue to reduce the average response rate to see, reduced to 80%Let's take a look at the prediction results:Hey, there has been 0.1 below the response rate, it seems to follow this rule to adjust, basically can meet the requirements of the boss, the average response rate is reduced to 80%.Interested children's shoes, can follow this law analysis and mining, to correct the number of each position and the adjustment of the work rounds.Big Data era: a summary of know

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Naive Bayes algorithm)This article is mainly to continue on the two Microsoft Decision Tree Analysis algorithm and Microsoft Clustering algorithm, the use

is God horse? We select an existing case table and a nested table, and then design the statement: Let's look at the results: See, according to this article of the Microsoft Sequential analysis and clustering algorithm, has been different users may buy products in order, the results of this analysis is strictly in order, we can see that there is a customer number 18239, he most likely to first buy water Bottle, and then buy Sport-100 .... Let's look

of the most want to buy a car of the characteristics of the silver, tomorrow continue to analyze, and see can help me to simple analysis, the same first a few of the structure of the picture:Tomorrow night the results are analyzed, and the characteristics of the two algorithms are compared and analyzed. Be interested in big data don't forget your "recommendation" Oh.The power of data mining: I knew you'd do it!(not to be continued .....) ）(original) Big Data era: a summary of knowledge

explainedThe next interval, the situation has changed, in this interval, the order is between 50.000-181.677 has shown a high "hanging off rate" trend...... I'll go... To this range ... became the exclusively high "hang-off rate", and work Time became (PM2) afternoon .... Number of orders reduced to 50.000-181.677 .... It seems that the afternoon Customer service center should be a holiday, all changed to "Late Night" to work ... Hey...For this I browsed through the data source view, and throug

Tags: style blog http io color ar os for SPOriginal: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Time Series algorithm)ObjectiveThis article is also the continuation of the Microsoft Series Mining algorithm Summary, the first few mainly based on state d

inputs and relatively few outputs. In fact, it's the most widely used scenarios, such as when we get a bunch of data, when a goal is no clue, the Microsoft Neural network analysis algorithm is the best scenario for the application, because it uses the "human brain" characteristics to the vast ocean of data to explore useful information. For example: Boss threw the company's database to you ... Let you analyze the company why not make money ...

... Continue and Next ... Here do not repeat, do not understand can refer to the previous articles, we choose Microsfoft time Series algorithm, see figureClick Next, there are a few key points we need to set up, let's look at the graph:Here we combine the brand and the region, the report date to form a key column, the sales and sales performance of two columns as input and as output, because these two columns even our historical analysis to use the i

structure, now create a new data mining structure, and then next ... Continue and Next ... Here do not repeat, do not understand can refer to the previous articles, we choose Microsfoft time Series algorithm, see figureClick Next, there are a few key points we need to set up, let's look at the graph:Here we combine the brand and the region, the report date to form a key column, the sales and sales performance of two columns as input and as output, be

Tags: blog http ar os using SP strong data onOriginal: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Clustering algorithm)This article is mainly to continue the previous Microsoft Decision tree Analysis algorithm, the use of another analysis algorithm for

Original: (original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Decision Tree Analysis algorithm)With the advent of the big data age, the importance of data mining becomes apparent, and several simple data mining algorithms, as the lowest tier, are now being used to make a brief summary of the

the results is so high! The existence of this model directly kills any other analysis algorithm, God horse clustering, Bayesian are floating clouds .... Floating clouds only.Through the above analysis, we have established our inference, male and female comrades in want to buy bicycles this thing is a group difference, not only by analyzing the whole facts can be obtained, of course, the two species of men and women on the Earth, there is a large difference in behavior and characteristics, For b

of big data.Of course, all things have to take the data to speak, can not be confused, the ideal model is the red one to verify that I just said that when the total data reached 50%, our data mining results are 100 points, 100 what meaning? Absolutely right! That means what you want to do next is something we can fully speculate about, of course, when the amount of data is low, we can't do anything, we use any data mining algorithm theoretically will

Microsoft president Bill Gates 11 points of advice Publisher: Ji Jianhui Original Author: Reproduced Source: http://bbs.icxo.com/dispbbs.asp? Boardid = 1642 id = 43349 published on: 16:02:50. 577 【Abstract】 Bill Gates, president of Microsoft, provides the following 11 suggestions to young people who are about

Summarize the Microsoft Devices Group software Pen test, all the pen questions divided into two papers, a logical question and a software test, only a summary of technical questions ~ All English, only the choice of questions and fill in the blanks, the choice of the majority, divided into single and multi-choice, multi-choice topics will be marked out. The overall survey is very basic and very detailed, the difficulty is moderate. Here is a summary o