Tag：cost
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2022 / 4 / 8 academic success project summary
Up to now: EV = 559.6 ﹐ AC = 844.5 ﹐ PV = 1250 SV (progress deviation) = ev-pv = 559.6-1250 = – 690.4 CV (cost deviation) = ev-ac = 559.6-1250 = – 439.6 SPI (Progress performance index) = EV / PV = 559.6 / 1250 = 0.45 CPI (cost performance index) = EC […]
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Top ten project management (IV) cost management
Cost management isTry to control the actual cost of the project within the budget and ensure that the project is completed within the budget。 There are four main sub processes:Planning cost management、Estimated cost、Budget makingandControl cost。 The main types of costs are: The following describes these sub processes in detail: 1、 Planning cost management Planning the […]
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Practice of qcon ocpx multi-objective and multi scene joint modeling in oppo
1 background Since Facebook launched ocpx in 2012, the development of ocpx products and capabilities in the industry has been very mature. The commercial algorithm of oppo digital intelligence engineering system algorithm platform Department has also accumulated some practical experience in ocpx capacity construction. 2. What is ocpx From the definition of a delivery platform, […]
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Basic knowledge of software engineering [First Edition]
Basic concepts of software engineering Objectives and common models of software engineering The goal of software engineering is to improve the quality and productivity of software and finally realize the industrialized production of software Main links of software engineering Linear model of software engineering Linear model is also known as waterfall model, but it is […]
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Machine learning algorithm series (III) – standard linear regression algorithm
Background knowledge required for reading this article: matrix derivation and yidui programming knowledge 1、 Introduction two binary classification algorithms, perceptron algorithm and pocket algorithm, are introduced earlier. These algorithms solve the problem of classification, but in reality, they are more problems such as predicting the house price in a certain area, how much credit […]
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Interpretation of Gartner APM Magic Quadrant technology – full storage? No! On demand storage? YES!
Introduction:In the cloud native era, making full use of the computing and storage capacity of edge nodes, combined with the separation of hot and cold data to achieve cost-effective data value exploration has gradually become the mainstream in the field of APM. Author: Xia Ming (yahai) The call chain records the complete request status and […]
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Machine learning algorithm series (IV) – ridge regression algorithm
Background knowledge required for reading this article: standard linear regression algorithm and yidui programming knowledge 1、 Introduction In the previous section, we learned the machine learning algorithm series (III) – standard linear regression algorithm, and finally obtained the analytical solution w of the cost function of standard linear regression as follows: $$ w=\left(X^{T} X\right)^{-1} X^{T} […]
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Machine learning algorithm series (6) – elastic net regression algorithm
Background knowledge required for reading this article: ridge regression, Lasso regression, and a little programming knowledge 1、 Introduction previously, we learned two regularization methods of ridge regression and lasso regression. When multiple features are related, Lasso regression may only randomly select one of them, and ridge regression will select all features. At this time, […]
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[Research Report] will eip-1559 proposal make eth appreciate or face risks?
Eip-1559 is probably one of the most anticipated upgrades of Ethereum’s economic model, and it is also recognized that it is not easy to understand, because many articles focus on technology. In fact, thinking from the perspective of sharing the cake (gas) may be a shortcut to understand this matter. Important background supplement. Eip-1559 is […]
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Machine learning algorithm series (VII) – logarithmic probability regression algorithm (I) (logistic regression algorithm)
Background knowledge required for reading this article: linear regression, maximum likelihood estimation and yidui programming knowledge 1、 Introduction in the previous sections, we studied standard linear regression, and then introduced three regularization methods – ridge regression, Lasso regression and elastic network regression. These linear models solve the problem of regression. At the beginning, it […]
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Machine learning algorithm series (VII) – logistic regression algorithm (I)
Background knowledge required for reading this article: linear regression, maximum likelihood estimation and yidui programming knowledge 1、 Introduction in the previous sections, we studied standard linear regression, and then introduced three regularization methods – ridge regression, Lasso regression and elastic network regression. These linear models solve the problem of regression. At the beginning, it […]
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Product manager project management 05: objectives of project management
Title: objectives of project management 1. How fast and cost-effective the project is When we receive a project task, the boss or leader will formulate a series of objectives and requirements, such as good quality, fast speed, saving money and so on. But like Heisenberg uncertainty principle, meeting one requirement often fails to meet another. […]