农牧行业专业定制 种、养、加、销、运智慧高效一体化解决方案。主要应用在繁育、养殖、社会化服务、屠 宰加工、金融保险、销售、运营、监管等畜牧业全产业链的各重要环节,是为农牧民、 合作社、企业等提供饲养技术、繁育服务、远程诊断、农资流通、金融保险、产品销 售、市场分析、运营监管等服务的服务型大数据云计算平台。
Specialized customized intelligent and efficient integrated solutions for planting, breeding, processing, marketing and operation in the agriculture and animal husbandry industry. It is mainly used in various important links of the whole animal husbandry industry chain, such as breeding, breeding, social services, slaughtering and processing, financial insurance, sales, operation and supervision. It is a service-oriented big data cloud computing platform that provides farmers and herdsmen, cooperatives, enterprises, etc. with feeding technology, breeding services, remote diagnosis, agricultural capital circulation, financial insurance, product sales, market analysis, operation and supervision services. (2024-05-16, Others, 0KB, 下载0次)
在包含Wikimedia提供的约500万篇维基百科文章的逗号分隔值（CSV）格式的数据集上使用Apache Hadoop MapReduce技术开发朴素的搜索引擎，作为大数据分析基础（DS2004）课程作业的一部分。
Developing a Naive Search Engine Utilising Apache Hadoop MapReduce Technology on a dataset in comma-separated values (CSV) format containing around 5 million Wikipedia articles provided by Wikimedia, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course. (2024-03-23, Others, 0KB, 下载0次)
分析Twitter上公众对西蒙娜·比尔斯2021年因精神健康原因退出奥运会的 React。本项目采用情绪分析、主题探索和时间趋势来理解体育运动中围绕心理健康的污名，并促进关于竞技体育中身心健康的对话。
Analyzing public reactions on Twitter to Simone Biles 2021 Olympic withdrawal for mental health reasons. This project employs sentiment analysis, thematic exploration, and temporal trends to understand the stigma around mental health in athletics and foster a dialogue on wellness in competitive sports. (2024-03-08, Others, 0KB, 下载0次)
使用Qt来实现自选基金以及大盘全局可视化,方便对于整体趋势的把握,以及对自身持仓,以及卖出点收益相关可视化分析,确保在在数据上可视化连接自身情况,通过将自身加仓与大盘趋势结合,掌握整体大盘动向。
Qt is used to realize the self selected fund and the overall visualization of the market, so as to facilitate the grasp of the overall trend, as well as the visual analysis of their own positions, and the yield related to the selling point, so as to ensure the visual connection of their own situation on the data, and grasp the overall market trend by combining their own positions with the overall market trend. (2024-03-03, Others, 0KB, 下载0次)
在本研究中，我们使用了一系列机器学习算法，如决策树（DT）、随机森林（RF）、XGBoost（XGB）和K近邻（KNN），并结合数据增强技术（ADASYN）和贝叶斯优化来提高预测精度。
In this research, we have utilized a range of machine learning algorithms, such as Decision Tree (DT), Random Forest (RF), XGBoost (XGB), and K-nearest neighbors (KNN), in combination with data augmentation technique (ADASYN) and Bayesian Optimization to enhance prediction accuracy. (2024-03-02, Others, 0KB, 下载0次)
由单个指纹编织的万维网。该评估通过一个简单的指纹来开发个人配置，映射大量个人DNA。这为我们提供了一条基于可怕的收获的直接路线。允许每条折痕或皱纹具有分析师提供的确切含义，这些分析师研究了所有身体语言和表达，以便理解从一个房间中发现真相的确切相关性。我们将能够在没有
world wide web woven by a single thumbprint. This evalution developes personal configurations eith a simple thumbprint, mapping a llineage of pur personal DNA. This gives us a direct course to follow based on our formidable reafings. Allowing every line crease or wrinkle to have exact meaning provided by analyst who have studdied all body languages and expressions onorder to understand the exact relivance to find the truth ifrom a soirce. we will be able to uncover and discover ourselves without (2024-02-25, Others, 0KB, 下载0次)
自动机、形式语言和语法的分类。乔姆斯基层次结构。自动机和文法的表示，BNF.确定性和非确定性有限状态自动机。正则表达式和语言。下推自动机。上下文无关语言。上下文相关文法和线性有界自动机。递归可枚举语言。图灵机；范式；不可判定性。
Classification of automata, formal languages, and grammars. Chomsky hierarchy. Representation of automata and grammars, BNF. Deterministic and nondeterministic finite state automata. Regular expressions and languages. Pushdown automata. Context-free languages. Context-sensitive grammars and linear bounded automata. Recursively enumerable languages. Turing machines; normal forms; undecidability. (2024-02-25, Others, 0KB, 下载0次)
利用数据工程技能分析斯里兰卡的HCHO数据。了解HCHO监测对空气质量和气候研究的重要性。深入了解潜在的HCHO来源和时空趋势。开发时间序列预测算法（ML或其他）
Utilize data engineering skills to analyse HCHO data in Sri Lanka. Understand the importance of HCHO monitoring for air quality and climate studies. Develop insights into potential HCHO sources and spatial temporal trends. Develop time series prediction algorithms (ML or otherwise) (2024-02-25, Others, 0KB, 下载0次)
谷歌趋势为我们提供了搜索量的估计。让我们探索一下搜索流行程度是否与其他类型的数据相关。也许谷歌的搜索量和比特币或特斯拉（Tesla）等热门股票的价格都有规律。也许“失业救济金”一词的搜索量可以告诉我们关于实际失业率的一些情况
Google Trends gives us an estimate of search volume. Let s explore if search popularity relates to other kinds of data. Perhaps there are patterns in Google s search volume and the price of Bitcoin or a hot stock like Tesla. Perhaps search volume for the term "Unemployment Benefits" can tell us something about the actual unemployment rate (2024-02-23, Others, 0KB, 下载0次)
该项目旨在使用随机森林、朴素贝叶斯、决策树、KNN、CatBoost和XGBoost算法开发贷款合格性预测模型。通过比较它们的绩效，我们的目标是选择最合适的模型，确保稳健和准确性，以帮助金融机构自动化贷款批准流程。
The project aims to develop a loan eligibility prediction model using Random Forest, Naive Bayes, Decision Tree, KNN, CatBoost, and XGBoost algorithms. By comparing their performance, we aim to select the most suitable model ensuring robustness and accuracy for assisting financial institutions in automating the loan approval process. (2024-02-17, Others, 0KB, 下载0次)
纳马斯特！一家比萨店在美国纽约被命名为“比萨厨房”。商店经理希望分析比萨销售数据的关键指标，以深入了解业务绩效。并希望我们提出解决方案，以提高销售和整体业务绩效。披萨销售数据为2015年1月至2015年12月。
Namaste! A Pizza Store is named ‘Pizza Kitchen’ in NY, USA. The store manager wants to analyze key indicators for pizza sales data to gain insights into the business performance. And also wants us to suggest solutions to boost the sales and overall business performance. The pizzas sales data is from January, 2015 to December, 2015. (2024-01-30, Others, 0KB, 下载0次)
维度诅咒面试问题和答案，帮助您为2024年的下一次机器学习和数据科学面试做好准备。
Curse of Dimensionality interview questions and answers to help you prepare for your next machine learning and data science interview in 2024. (2024-01-08, Others, 0KB, 下载0次)
朴素贝叶斯面试问题和答案，帮助您为2024年的下一次机器学习和数据科学面试做好准备。
Naive Bayes interview questions and answers to help you prepare for your next machine learning and data science interview in 2024. (2024-01-08, Others, 0KB, 下载0次)
使用此Tableau仪表板调查股市动态，分析Facebook、谷歌、英伟达、特斯拉、苹果和Twitter等关键科技巨头。深入了解股票趋势、绩效指标和塑造市场格局的关键指标。
Investigate the dynamics of the stock market with this Tableau dashboard, analyzing key tech giants like Facebook, Google, Nvidia, Tesla, Apple, and Twitter. Gain insights into stock trends, performance metrics, and crucial indicators shaping the market landscape. (2023-12-31, Others, 0KB, 下载0次)
我是Mohamed Aziz Ben Ismail，突尼斯ESPRIT计算机科学专业的学生。22岁时，我也是Youtube的内容创建者。我的兴趣范围从前端后端开发到音乐、电影和系列。我喜欢与朋友分享这些激情。
I m Mohamed Aziz Ben Ismail, a Computer Science student at ESPRIT in Tunisia. At 22 years old, I m also a Content Creator on Youtube. My interests range from frontend backend development to music, movies, and series. I love sharing these passions with friends. (2023-12-19, Others, 0KB, 下载0次)
本报告将试图用多元回归贝叶斯框架预测我们的反应——每日臭氧水平。将实现平滑样条，以帮助进行预测和识别数据集中的模式。
This report will attempt to predict the daily ozone level, our response, with a multiple regression Bayesian framework. A smoothing spline will be implemented to help make predictions and identify patterns in the data set. (2023-10-21, Others, 0KB, 下载0次)
[会议和计划]S14退休大科技硅谷|我参加了谷歌、微软、埃森哲、Avanade、UCI和斯坦福大学的会议和计划，以扩大我的知识面。
[Conferences & Programs] S14-Retirement Big Tech Silicon Valley | I attend Google, Microsoft, Accenture, Avanade, UCI, and Stanford University conferences and programs to broaden my knowledge. (2023-09-06, Others, 0KB, 下载0次)
在这篇文章中，我们提出了一个来自南亚国家（孟加拉国）的新的标记糖尿病数据集。此外，我们推荐了一个自动分类管道，引入了几种机器学习（ML）分类器的加权集成：朴素贝叶斯（NB）、随机森林（RF）、决策树（DT）、XGBoost（XGB）和LightGBM（LGB）。临界值...
In this article, we proposed a new labeled diabetes dataset from a South Asian country (Bangladesh). Additionally, we recommended an automated classification pipeline, introducing a weighted ensemble of several Machine Learning (ML) classifiers: Naive Bayes (NB), Random Forest (RF), Decision Tree (DT), XGBoost (XGB), and LightGBM (LGB). The (2022-07-28, Others, 781KB, 下载0次)
采用支持向量机、高斯朴素贝叶斯、逻辑回归、LightGBM、XGBoost和随机森林算法建立心脏病风险预测模型，准确率分别为80.32%、78.68%、80.32%、77.04%、73.77%和88.5%。
Support vector machine (SVM), Gaussian Naive Bayes, logistic regression,
LightGBM, XGBoost, and random forest algorithm have been employed for
developing heart disease risk prediction model and obtained the accuracy as
80.32%, 78.68%, 80.32%, 77.04%, 73.77%, and 88.5%, respectively.
, (2023-03-09, Others, 2565KB, 下载0次)
提出了一种基于支持向量机的多类模拟调制方式识别算法。该算法通过分析模拟调制信号的特点，提取有效的特征向量以区分不同的调制方式，并基于支持向量机和判决树分类思想，将特征向量映射到高维空间中加以分类。
A support vector machine based on the many types of analog modulation recognition algorithm. The algorithm by analyzing the characteristics of analog modulation signal to extract effective feature vector in order to distinguish between different modulation methods, and based on support vector machines and decision tree classification of ideas, will feature vector is mapped to the high-dimensional space to be classified. (2007-08-03, Others, 219KB, 下载185次)