microsoft data scientist

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It's not hard to be a data scientist

a fantasy, the Predictive Analysis Contest website Kaggle provides us with many examples. In September this year, a lawyer-born insurance risk Model designer, Carter S, took the project bonus for the first time in the Kaggle competition. Carter uses the original "Violence Analysis" (Overkill Analytics), the so-called violence analysis is to abandon the complexity of big data analysis model, the combination of a large number of simple models, using to

42-Step Learning-Make you a great Java Big Data scientist!

Author Lighthouse Big DataThis document is transferred from the public Lighthouse Big Data (Dtbigdata), reprinted to be authorized If you are interested in a variety of scientific topics in data classes, you are in the right place. This article will introduce you to 42 steps to become a good data scientist. De

Facebook AI Scientist: We're feeding spam data to algorithmic models

In a recent conversation, Facebook AI research scientist Moustapha Cissé told me, "What you eat, what you are, and we're feeding junk food to algorithmic models."If you don't know what's in the food, it's hard for you to eat properly. Similarly, if you do not understand the principles of training data, you cannot train a model with a smaller bias.Many machine learning and deep learning models tend to use pu

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Linear regression analysis algorithm)

Reprint: http://www.cnblogs.com/zhijianliutang/p/4076587.htmlThis is the last article of the Microsoft Series Mining algorithm, after the completion of this article, Microsoft in Business intelligence this piece of the series of mining algorithms we have completed, this series covers the Microsoft in Business Intelligence (BI) module system can provide all the mi

. NET Framework data providers require Microsoft Data Access Components (MDAC ). Install Microsoft Data Access Components (

Developed by vs2005 + VB.net + Oracle + ado.netProgram, An error occurs on a customer's machine: . NET Framework data providers require Microsoft Data Access Components (MDAC ). Install Microsoft Data Access Components (MDAC) 2.6 or later When mdac2.8 is used for i

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Sequential analysis and Clustering algorithm)

Tags: article vs2008 reg knowledge View HTM new research will notObjective This article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Time Series algorithm)

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 S

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Neural Network analysis algorithm)

Reprint: http://www.cnblogs.com/zhijianliutang/p/4067795.htmlObjectiveFor some time without our Microsoft Data Mining algorithm series, recently a little busy, in view of the last article of the Neural Network analysis algorithm theory, this article will be a real, of course, before we summed up the other Microsoft a series of algorithms, in order to facilitate e

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Naive Bayes algorithm)

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 M

(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 the target customer group mining, the same use of Microsoft case data for a brief summary.Application Scenario IntroductionIn the previous article, we used the Microsoft Decision tree An

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Neural Network analysis algorithm principle)

Reprint: http://www.cnblogs.com/zhijianliutang/p/4050931.htmlObjectiveThis article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft

(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 discrete values or continuous values for speculation and prediction, the algorithm used mainly three kinds: Microsoft Decision tree Analysis algorithm, Microsoft Clustering algorithm, Microsoft

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Time Series algorithm)

Reprint: http://www.cnblogs.com/zhijianliutang/p/4021799.htmlObjectiveThis article is also the continuation of the Microsoft Series Mining algorithm Summary, the first few mainly based on state discrete values or continuous values for speculation and prediction, the algorithm used mainly three kinds: Microsoft Decision tree Analysis algorithm, Microsoft Clusterin

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Decision Tree Analysis algorithm)

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 a

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Clustering algorithm)

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 Mi

Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Clustering algorithm)

Reprint: http://www.cnblogs.com/zhijianliutang/p/4009829.htmlThis article is mainly to continue the previous Microsoft Decision tree Analysis algorithm, the use of another analysis algorithm for the target customer group mining, the same use of Microsoft case data for a brief summary.Application Scenario IntroductionIn the previous article, we used the

(original) Big Data era: a summary of knowledge points based on Microsoft Case Database Data Mining (Microsoft Naive Bayes algorithm)

Tags: blog http os using ar strong file Data spThis article is mainly to continue on the two Microsoft Decision Tree Analysis algorithm and Microsoft Clustering algorithm, the use of a more simple analysis algorithm for the target customer group mining, the same use of Microsoft case

Microsoft Data Mining algorithm: Microsoft Linear regression analysis Algorithm (11)

ObjectiveThis is the last article of the Microsoft Series Mining algorithm, after the completion of this article, Microsoft in Business intelligence this piece of the series of mining algorithms we have completed, this series covers the Microsoft in Business Intelligence (BI) module system can provide all the mining algorithms, of course, this framework can be fu

Microsoft Data Mining algorithm: Microsoft Decision Tree Analysis Algorithm (1)

Introduced:The Microsoft decision Tree algorithm is a classification and regression algorithm that is used to model discrete and continuous attributes in a predictive mode.For discrete attributes, the algorithm predicts the relationships between the input columns in the dataset. It uses the values of these columns (also called states) to predict the state of a column that is specified as predictable. Specifically, the algorithm identifies the input co

Microsoft Research Asia Open source map data Query Language likq_ Microsoft

Recently, Microsoft Research Asia through the GitHub platform open source map data Query Language LIKQ (language-integrated knowledge query). LIKQ is a data query language that can be used for child graph and path query based on distributed large-scale graph data processing engine graph engine. It allows developers to

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