First Step Of My Technical Blog

最新推荐文章于 2025-11-22 11:26:55 发布
原创 最新推荐文章于 2025-11-22 11:26:55 发布 · 621 阅读 · 0 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
文章标签：

#开启技术人生的博客之旅

作者很高兴成为优快云的一员，尽管内容中未详细提及具体的技术细节或经历，但从其加入社区的热情可以看出对于技术交流与分享有着浓厚的兴趣。

I am very glad to be one member of the 优快云. In fact , I have been here several months ago.............

     

Now,   let's   begin   the   wonderful   journey.

A Brief History of Word Embeddings and Their Use in NLP
AI天才研究院
08-05 1131
1950年代，英文单词"word embedding"第一次出现在著名的科幻小说“狄更斯的通灵秘笈”中。当时，英语被视作计算机和语言处理领域的主要研究对象，因此，Word Embedding这一术语也被用来描述整个领域中的重要研究成果。1980年代，计算机模型如相似性匹配算法(similarity matching algorithms)或聚类算法(clustering algorithms)开始广泛使用。
ts12_Multi-step Forecast_sktime_bold_Linear Regress_sMAPE MASE_warn_plotly acf vlines_season_summary
Linli522362242的专栏
01-12 1961
Linear_Elastic Net_Ridge_Huber_Lasso Regression_ForecastingHorizon_Deseasonalizer_Detrender_NaiveForecaster_ make_reduction _TransformedTargetForecaster_test_heteroskedasticity_test_serial_correlation_bse(std err)_SARIMAX
Technical Blog: Sentiment Analysis of IMDB Movie Reviews
SSSherl的博客
12-12 838
【代码】Technical Blog: Sentiment Analysis of IMDB Movie Reviews。
The first in-depth technical analysis of VP8
BonderWu的专栏
07-04 4290
如要研习VP8及WebM，此文章不得不看http://x264dev.multimedia.cx/archives/377Back in my original post about Internet video, I made some initial co
How to Draw Useful Technical Architecture Diagrams
flyweight_visitor的博客
03-04 774
【转载】https://medium.com/the-internal-startup/how-to-draw-useful-technical-architecture-diagrams-2d20c9fda90d A technical architecture diagram provides a bird’s eye view of the infrastructure of your organisation. The diagram illustrates how components in a
Digic WooCommerce Theme — My Technical Build Log
feiyue5的博客
11-22 943
A technical, first-person walkthrough of building a fast electronics WooCommerce store using Digic.
Technical Report
yangjia_cheng的博客
04-06 7698
Technical ReportNumber 574Computer LaboratoryUCAM-CL-TR-574ISSN 1476-2986Sketchpad: A man-machine graphicalcommunication systemIvan Edward SutherlandSeptember 2003New preface by Alan Blackwell andKerr...
How Rooting Works -- A Technical Explanation of the Android Rooting Process
liqingxu2005的专栏
01-29 797
Copied from http://seasonofcode.com/posts/how-rooting-works-a-technical-explanation-of-the-android-rooting-process.html. ==========================================================================
VaRcomputation technical analysis
thinkforyou2的博客
07-01 846
Window:Mac:​​and​​Window:Mac:
Models of my life 3
dao_2019的博客
02-09 1774
Chapter 11My loveAChapter 12theories;Chapter 13。
MY FIRST COREWAR BOOK
云海唯C的专栏
09-17 1716
主题: MY FIRST COREWAR BOOK 第一章译者: Michael Zeng [michaelz2000@21cn.com]日期: 02-5-10 12:53*转载请勿删改,谢谢*                         MY FIRST COREWAR BOOK                         -------前言-------本书搜集了一
VLSI-Design of Non-Volatile Memories
12-20
of technological progress, and the authors of this book have taken a giant step forward in the development of a practice-oriented treatise for design engineers who are interested in the practical, ...
18、Mastering CISSP Interviews: Technical and Behavioral Insights
a3b4c5的博客
08-05 92
This blog provides a comprehensive guide to preparing for CISSP interviews, covering both technical and behavioral aspects. It includes insights into managing non-compliant endpoints, regulatory compliance assessments, elevator pitches, and strategies for
PRACTICAL CASE (2025) COURSE: DEMAND FORECASTING AND PLANNING PROFESSOR: Eduardo Martínez-Artero Martínez Practical Case Demand Planning | Page 2 of 4 PRACTICAL CASE Case: ABC – XYZ and Time Series Forecasting. Description: THE CASE. This case tries to reproduce how a company planner tackles the challenge of data analysis. To do so you will find a Worksheet called “2025_CASE01_EXAMPLE_RAWDATA.xlsx” to be used as a Raw Data base. In this file you can find two tabs for each student with different data for each student. • The tab with data for part ABC-XYZ exercise. • The tab with Sales for Time Series Exercise. ABC-XYZ EXERCISE. The situation is like the one that a Planner will find the first time needs to prepare the forecast of a complex portfolio without any previous business knowledge. And the process to understand which forecasting method to apply to the time series for forecasting. You as new planner in the company must elaborate a presentation (Power Point Presentation and video presenting them in English) for your line manager to: 1. Categorise the products in the first tab following ABC-XYZ a. Explain the methodology applied and the conclusions obtained. b. How many Items are classified as AX, BY and CZ. c. How much value is on groups AY, BZ and CX. d. What forecast plan you have fore each of the groups and why. 2. With the Products in Tab with your name (2) you must Apply the methods learnt in the technical notes 2 and 3 and the accuracy methods to select the best methodology for forecasting several time series. And include in the presentation: a. Explain the methodology used to choose the forecast method that minimise the error for each product. b. Which is the best forecast method to apply to each of the products? Justify the answer in the presentation with the error calculation and comparable and any graphical support needed. c. Which are the parameters used on each of the method to get the best fit? Justify and show the result and its forecast in a chart. d. Overall conclusions and recommendations for your line manager on what is the procedure to follow going forward to measure accuracy and review method used for forecast. C.I.F. G-30164099 Practical Case Demand Planning | Page 3 of 4 THE RAW DATA: • The actual weekly demand of 50 products. So, all the sales of the company will be in Euros. • In the header you can find the week numbers and in the left column the generic name of the product. TIME SERIES EXERCISE THE CASE. A bags retailer wants to understand which forecasting method is the best to apply to the different categories of bags they are selling. Within each category, the different SKU’S have similar behaviour so the study will be to the most significant SKU per category. You can find the sales data in the tab “Sales Products” from the file mentioned above. THE RAW DATA: Columns description: • Year: Is the year of the period described. You will have 2022 and 2023 years as reference. • Month: Month of the year for the period described. The months from January to December for both years. • Period: Number of Period from 1 to 24. • BeachPoolBag: Sales in US Dollars for the Bags category of Beach & Pool for each period described. • Brown_ECO_Vegan_Bag: Sales in US Dollars for the Bags categorised as ECO friendly and Vegan on Brown colour. • Travelers_BackPack_Bag: Sales in US Dollars for the Bags categorised as Backpacks for travellers. In the tab with your name (2) you can find: • Historic demand of 5 items in units per week. • Header is the number of weeks • Left column is the name of the product. THE FILE TO SUPPORT CALCULATIONS ON TIME SERIES FORECAST: The student must calculate the forecast using different methods for it and choose the one with better accuracy. This includes the optimisation of parameters for those methods that require it. You can use the Excel file provided called “2025_TimeSeriesForecastMethodsTemplateExamples.xls” as an example to make the calculations and support with the different methods and evaluations. All the formulas needed are included in the file. C.I.F. G-30164099 Practical Case Demand Planning | Page 4 of 4 You can use the Excel file provided called “7_ForecastMethodsExcel.xls” as an example to make the calculations and support with the different methods and evaluations. All the formulas needed are included in the file. Questions to answer: • Which is the best forecast method to apply to each of the products? Justify the answer with the calculations used for this selection. • Which are the parameters used on each of the method to get the best fit? Justify and show the result and its forecast in a chart. Objective: • Apply the ABC-XYZ segmentation methodology to the raw data in a step-by-step process. • Apply the methods learnt in the technical notes 2 and 3 and the accuracy methods to select the best methodology for forecasting several time series. The student must calculate the forecast using different methods for it and choose the one with better accuracy. This includes the optimisation of parameters for those methods that require it. Questions to answer: • Which is the best forecast method to apply to each of the products? Justify the answer with the calculations used for this selection. • Which are the parameters used on each of the method to get the best fit? Justify and show the result and its forecast in a chart. The deliverable will be: • Power Point Presentation and optional a Video with the presentation explained in English. • Excel file that supports the calculations with explanation of methods used and steps. These documents must be submitted into Canvas for evaluation individually. IMPORTANT NOTE: All the information to solve properly the case are included on the Technical notes NT1, NT2 and NT3 and has been explained in class during the sessions and during the Online Session number 1. If during the resolution of the case, you have any doubt you can contact me through the ENAE communication platform to get clarified. C.I.F. G-30164099
01-06
> "As a new planner with no prior knowledge of the portfolio, my first step was to apply the ABC-XYZ framework — not just to classify products, but to define *how* we should forecast each group." ...
网球比赛YOLO视觉分析.zip
01-07
网球比赛YOLO视觉分析.zip
【顶级EI完美复现】电力系统碳排放流的计算方法【IEEE 14节点】（Matlab代码实现）
01-07
【顶级EI完美复现】电力系统碳排放流的计算方法【IEEE 14节点】（Matlab代码实现）内容概要：本文介绍了基于IEEE 14节点电力系统的碳排放流计算方法，并提供了Matlab代码实现，属于顶级EI期刊级别的研究成果复现。该方法通过建立电力系统中各节点的碳排放流动模型，结合潮流计算与电源出力特性，量化不同机组和线路的碳排放责任，进而实现对电力系统低碳运行的评估与优化。文中详细阐述了算法原理、数学模型构建及仿真步骤，适用于电力系统低碳化分析与碳足迹追踪研究。; 适合人群：具备电力系统基础知识和Matlab编程能力的高校研究生、科研人员及从事能源系统低碳化研究的专业技术人员，尤其适合致力于高水平论文复现与算法开发的研究者。; 使用场景及目标：①用于电力系统碳排放流的精确建模与可视化分析；②支撑“双碳”背景下电网低碳调度、绿色电力溯源与碳配额分配等应用场景；③为撰写高水平学术论文（如EI/SCI）提供可复现的技术路径与代码基础。; 阅读建议：建议读者结合IEEE 14节点系统标准数据，逐步运行并调试所提供的Matlab代码，深入理解碳流分配逻辑与矩阵运算实现方式，同时可拓展至其他节点系统以验证算法通用性。
Android多线程下载
01-07
源码地址： https://pan.quark.cn/s/dcbecb73e50d M3U8-Downloader-Build Release Download M3U8-Downloader 直接下载 M3U8-Downloader是基于Electron框架开发的一款可以下载、播放HLS视频流的APP，功能特点如下： 流程原理图 -- -- 官网 M3U8-Downloader 官网 QQ交流群：341972319 点我加QQ交流群 获取M3U8视频地址 在chrome浏览器打开视频网页，按下F12,页签点击到Network页面，在Filter框里输入"m3u8",然后按F5刷新页面，如果网页里的视频使用的是HLS源，就可以在这里捕获到视频流地址，然后选中右键 Copy -> Copy Link Address. 提供m3u8源地址，下载并无损转码Mp4文件 自定义头添加-视频教程 下载可执行包 [推荐] 蓝奏下载 Windows 、Linux、MacOS 下载 下载 Releases下载 运行源码 NodeJS开发环境搭建 安装NodeJs最新版，NodeJs Download Clone 代码 在任意文件夹下新建一个文件夹存放代码，并执行以下命令 Yarn 环境安装 Package 依赖安装 运行M3U8-Downloader 打包发布 Enjoy it 赞赏 赞赏链接
基于STM32 F4的永磁同步电机无位置传感器控制策略研究
最新发布
01-07
基于STM32 F4的永磁同步电机无位置传感器控制策略研究内容概要：本文围绕基于STM32 F4的永磁同步电机（PMSM）无位置传感器控制策略展开研究，重点探讨在不依赖物理位置传感器的情况下，如何通过算法实现对电机转子位置和速度的精确估计与控制。文中结合嵌入式开发平台STM32 F4，采用如滑模观测器、扩展卡尔曼滤波或高频注入法等先进观测技术，实现对电机反电动势或磁链的估算，进而完成无传感器矢量控制（FOC）。同时，研究涵盖系统建模、控制算法设计、仿真验证（可能使用Simulink）以及在STM32硬件平台上的代码实现与调试，旨在提高电机控制系统的可靠性、降低成本并增强环境适应性。; 适合人群：具备一定电力电子、自动控制理论基础和嵌入式开发经验的电气工程、自动化及相关专业的研究生、科研人员及从事电机驱动开发的工程师。; 使用场景及目标：①掌握永磁同步电机无位置传感器控制的核心原理与实现方法；②学习如何在STM32平台上进行电机控制算法的移植与优化；③为开发高性能、低成本的电机驱动系统提供技术参考与实践指导。; 阅读建议：建议读者结合文中提到的控制理论、仿真模型与实际代码实现进行系统学习，有条件者应在实验平台上进行验证，重点关注观测器设计、参数整定及系统稳定性分析等关键环节。
QSPI协议解析包(基于PulseView软件使用)
01-07
1. 在PulseView软件中，可用于解析QSPI协议 2. 当前作者只验证过QSPI的4线写指令、单线读指令，其他指令暂未验证。
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值