机器视觉资讯20240410

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Gitlab CICD实践（Docker+Jenkins+Nginx） 2024-04-09 15:13

准备一台服务器，这里我用的阿里云（centos系统）

服务器上安装git

sudo yum update // 更新软件包列表 sudo yum install git // 安装Git git -- version // 验证是否安装成功

配置密钥

ssh-keygen -t rsa -C "root"

连按enter

执行 cd /root/.ssh 、 ls ，可以看到生成了 id_rsa(私钥) , id_rsa.pub(公钥)

复制公钥到gitlab的 SSH Keys 里面

验证是否可以拉取gitlab上面的代码

可以正常拉取

安装docker

参考安装教程：CentOS Docker 安装

启动 docker

sudo systemctl start docker

安装

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瑞松科技与基恩士（中国）达成战略合作 推动数字化技术产业--机器视觉网 2024-04-10 11:14:46

2024-04-10 11:14:46 来源: 中国机器视觉网

瑞松科技日前与基恩士（中国）共同签署战略合作协议，双方将通过采取多种合作方式，积极探讨在技术开发和应用的全面合作，共同推动数字化技术产业的发展。

根据协议，双方将在全球范围内充分共享市场资源、客户资源，积极有效推动双方产品和服务进入各自优势行业和市场领域。通过双方采取最完善的服务和技术支持，互帮互助，更好地高效服务终端用户，实现技术和业务上的互补性，发挥各自优势，达到互惠共赢、共同发展的目的。

基恩士株式会社是一家致力于工业自动化产品革新的国际综合性自动化制造企业。在全球拥有30万+客户、240多个办事处，覆盖46个国家和地区。凭借先进的技术及创新力，2011-2018年获评福布斯全球最具创新力企业，位居全球创新企业100强。其产品涵盖传感器

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埃科光电荣获“第十六届合肥市文明单位”荣誉称号--机器视觉网 2024-04-10 10:31:17

2024-04-10 10:31:17 来源: 中国机器视觉网

近日，第十六届合肥市文明单位评选结果揭晓，埃科光电荣获本届“合肥市文明单位”称号。这是埃科光电在推动企业高质量发展、践行社会主义核心价值观方面取得的又一重要成果。

文明单位是一个单位文明程度、发展环境、整体实力和发展质量的综合评价和集中体现。此次荣获“合肥市文明单位”称号，既是对埃科光电过去一年在文明创建工作中取得成绩的肯定，也是对未来发展的鞭策。

埃科光电将以此为契机，切实发挥示范引领作用，不断深化文明创建工作内涵，持续提升文明创建水平，以更加振奋的精神状态、更加扎实的工作作风，迎难而上、主动作为，为推动合肥市精神文明建设贡献更多力量。

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一种用于圆柱型金属零部件外观瑕疵检测与尺寸测量的视觉装置--机器视觉网 2024-04-10 16:05:38

一种用于圆柱型金属零部件外观瑕疵检测与尺寸测量的视觉装置

2024-04-10 16:05:38 来源: 中国机器视觉网

引言

合肥中科君达视界技术股份有限公司专注于高速视觉感知和测量技术创新，针对圆柱型金属零部件检测领域业务需求，潜心研制并出品金属零部件视觉检测装置，成功融入2D3D视觉、智能高精度算法，完成对多款尺寸的圆柱型金属零部件质量检测。

构成

装置采用回旋+步进式布局，以实现节约化生产空间下全检测工艺覆盖。圆柱型金属零部件视觉检测装置，沿检测工艺路线，主要由上料区、2D检测区，3D检测区、转盘检测区、下料区组成。

图1 视觉装置构成俯视图

上料区采用无序上料的方式，运行原理首先由无序抓取模块配备晃动机构，对上料盘进行轻微晃动，帮助圆柱型金属零部件定向便于抓取，再由定位视觉系统对移载组件

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基于光谱共焦技术的折叠屏连接结构检测--机器视觉网 2024-04-10 15:31:40

2024-04-10 15:31:40 来源: 中国机器视觉网

3月1日，全球最新款的折叠屏手机-华为竖向折叠屏Pocket2发售，这是自2018年首款折叠屏手机问世以来，全球第43款已量产的折叠屏手机，三星、华为、小米、OPPO、vivo、荣耀等各大终端厂商纷纷在折叠屏手机赛道崭露锋芒。

专业研究机构IDC、CINNO Research均发布了折叠屏手机产业统计数据，尽管两大机构所统计的数据略有差距，但从整体情况来看，去年中国市场折叠屏手机出货量约700万部、增速超过100%。

消费者对折叠屏手机的接受度不断提高，同时也对其提出了整机轻量化、耐用性、折叠手感、屏幕平整度（折痕消减）等更多进阶要求；其中屏幕平整度（折痕消减）是最受关注的问题。

应用实测

折叠手机的屏幕折痕产生，除了有铰链设计的原因

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迈睿机器人智能解决方案，助推车企生产线智能化升级--机器视觉网 2024-04-10 15:02:16

2024-04-10 15:02:16 来源: 中国机器视觉网

汽车零配件行业案例分享

项目背景

国内某知名汽车零配件制造企业，成立于2001年，是一家集技术研发、生产加工、自主品牌销售等为一体的汽车零配件生产企业。 随着个性化产品需求不断增长和规模经济效应的加强,传统依靠人工的生产模式已不能完全满足当前丰富多样、高效率的生物流管理要求。

项目痛点

车间区域狭窄，人工搬运无论从效率还是成本上都难以达到满意水平；生产区块众多，对于物流进行准时有效地调度配送提出了更高标准；产能不断提升，物料流转频率快而细节繁琐,人工操作难以适应这种高强度的工作节奏；产品类型日益多元，随时需要支持不同规格模式下的灵活调配；量产规模不断扩大，产品与生产流程中的变化也更为复杂，管理难度越来越大。

因此，工厂迫切需要升级智

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AI视觉软件在PCB板缺陷检测中的应用--机器视觉网 2024-04-10 14:52:37

2024-04-10 14:52:37 来源: 中国机器视觉网

AI视觉软件在PCB（印刷电路板）上漏焊与短路检测方面的应用对于提高制造质量和生产效率非常重要。

应用场景

制造过程监控：在PCB生产线上实时监测焊接过程，及时发现潜在的漏焊和短路问题；质量控制：在制造完成后，对PCB进行全面的检测，确保产品质量符合标准；售后服务：在产品维修和售后服务中，利用AI视觉软件检测可能导致故障的漏焊或短路问题。

缺陷种类

漏焊：焊点缺失、焊料分布不均匀、焊点未熔化等问题；短路：导线之间或元器件之间存在直接的电气连接；虚焊：焊点存在但不牢固，容易在使用中断裂；偏移焊：焊点位置偏离目标位置。

检测原理

图像采集：使用高分辨率相机捕捉PCB表面图像；特征提取：通过算法提取焊点形状、颜色、纹理等关键特征；机器学

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中智科仪EyeiTS像增强模组用于工业料仓中粉末的静电放电成像--机器视觉网 2024-04-10 11:34:57

2024-04-10 11:34:57 来源: 中国机器视觉网

1、研究背景

在粉末处理过程中，非导电粉末在频繁的颗粒—壁以及颗粒—颗粒相互作用过程中不可避免地会获得电荷，这可能会导致静电释放，甚至引起料仓内起火。静电荷会影响各种粉末处理过程，颗粒上不必要的静电荷积累会严重影响流体动力学特性，导致结块、粘连和偏析。为了探索颗粒的充电机制和动态特性，研究人员对静电力作用下的颗粒团聚、壁面粘附和分散性质以及流化床中的颗粒电化特性等进行了研究。尽管目前已使用多种设备和技术来消除颗粒上的电荷并降低放电概率，然而静电放电导致的事故仍频繁发生，威胁着工业安全。

一般来说，静电放电分为电晕放电、电刷放电、传播电刷放电和火花放电。电晕放电或电刷放电很难点燃悬浮粉尘，其等效点火能量为3.6mJ。由于点火能量较高，火花放电和

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深视智能线激光汽车发动机水冷组件检测--机器视觉网 2024-04-10 11:22:03

2024-04-10 11:22:03 来源: 中国机器视觉网

南来北往，逢年过节选择自驾出行的人们越来越多，而在汽车的行驶过程中，发动机会产生极高的温度，因此需要配置冷却系统进行散热处理，保证发动机在最佳温度下运行。

水冷作为目前主要的冷却装置，能够带走汽车发动机高温机件的热量，具有高效可靠、冷却均匀等优点。为保证汽车水冷装置的性能，深视智能使用3D线激光对金属水冷组件进行高精度检测，保证产品的装配及质量。

检测项目

产品名称：金属水冷组件

测量项目：基于平面尺寸的高度差

精度要求：平面高度差公差±0.05mm；视觉量测精度需要达到0.01mm

效果图展示

检测过程

测量原理：通过设定测量区域，取得相应的X,Y,Z坐标，并通过点到基准面的算法求值，即可得到平面高度差。

测量结果：点云与实物

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豪威参加2024中国电子信息博览会，绽放“视”界精彩―新闻频道- 视觉系统设计 2024/4/10 22:04:45

2024年4月9日-4月11日，第十二届电子信息博览会（以下简称“电博会”）在深圳会展中心（福田）隆重举办。作为中国规模最大、最具国际影响力的电子信息产业盛会之一，本届电博会以“追求卓越，数创未来”为主题，吸引了1500余家来自全球的知名品牌与行业巨头参加，同期举办50余场专业活动，现场参展人员超过8万人次。

作为电子信息产业综合大展，2024电博会向全球观众展示了中国电子信息产业的新产品、新技术、新服务、新模式、新趋势、新理念。设立CITE品牌创新主题馆、数字贸易生态馆、基础电子馆、电子信息产业应用馆等展馆，聚焦智慧家庭、新型显示、高端半导体、信创、大数据与存储、人工智能等行业热点，打造9大展馆、25个特色展区，助力高效观展和采购。

展位号：1E08（1号馆）

豪威科技集团作为半导体显示行业的引领者，此

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凌华科技基于 Intel Arc A380E GPU 的全新显卡即将亮相 Embedded World 2024―新闻频道- 视觉系统设计 2024/4/10 21:18:06

摘要：

凌华科技推出首款基于Intel GPU的显卡——A380E，提供卓越性能的同时，还兼容凌华科技的游戏平台。

除了在商业游戏方面的实力之外，A380E 还利用强大的 OpenVino™ AI 工具包，将其实用性扩展到边缘 AI 应用领域。这种集成的方式让 A380E 能够简化AI开发工作，并无缝集成深度学习的功能。

Embedded World 2024 期间，欢迎各位爱好者和专业人士莅临凌华科技和英特尔的展位，一睹 A380E 的实际应用并了解其先进的功能。

凌华科技日前推出旗下首款小型化的PCIe显卡——A380E， 该显卡集成了Intel Arc A380E GPU，从而进一步丰富了公司的 GPU 模块产品组合。此产品主要针对商业游戏市场，可以集成到凌华科技的游戏平台之中，例如ADi-SA6

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安森美推出面向工业、环境和医疗应用的下一代电化学传感器解决方案―新闻频道- 视觉系统设计 2024/4/10 21:06:27

今日，智能电源和智能感知技术的领先企业安森美(onsemi，美国纳斯达克股票代号：ON)，推出先进的微型模拟前端 (AFE)——CEM102，能以超低的电流实现超高精度的电化学传感。CEM102具备小巧外形和业内超低功耗，工程师采用它能为工业、环境和医疗保健应用开发小巧的多用途解决方案，如空气和气体检测、食品加工和农业监测，以及连续血糖监测等医疗可穿戴设备。

从生命和环境科学到工业材料和食品加工，测量化学物质可以为提高安全性、效率和认知提供更有价值的参考信息。在实验室、采矿作业和材料制造中，电化学传感器如电位计或腐蚀传感器是提供生产系统反馈和管理危险物质的重要工具，不仅能确保流程的正常运行，还保障了员工和操作的安全。

CEM102支持打造体积极小且超低功耗的解决方案，是依赖电池供电的电化学传感器应用的理想之

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视觉革新引领智造新未来―新闻频道- 视觉系统设计 2024/4/10 16:56:59

4月10日，智造大会2024·机器视觉发布会线上开幕，海康机器人在高速传输、工业AI、3D视觉方面再次实现突破与升级。

在智能制造浪潮席卷全球的背景下，海康机器人深入洞察市场需求，根据市场需求进行技术创新，产品迭代；并协同产业上下游推动新技术、新产品的规模化、产业化应用。

01.以市场需求为导向，8年创新不止

随着科技进步的步伐加快，机器视觉作为一种延伸人类感知的关键技术，正在以前所未有的势头改变着人们的生产生活方式。若要在机器视觉领域形成核心优势，软硬件技术的创新是核心，洞察市场需求则是创新的前提。

深谙此理，海康机器人多年来始终以市场需求为导向进行产品技术创新，每年都推出一系列创新成果，至今已连续8年举办8届机器视觉发布会。

创新赋能行业，品质铸就口碑

发布会伊始，海康机器人副总裁张文聪发表了《

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滤光片在机器视觉应用下的影响 2024-04-10 17:15

在机器视觉中，不同类型滤光片可用于改善或改变被检查物体的图像，尽管滤光片拥有多种类型及特性，但是一般可以简单规划为两大类，彩色滤光片与镀膜滤光片。

彩色玻璃滤光片在机器视觉应用中广泛运用，它们通过特定的掺杂玻璃材料实现吸收和透射光谱的选择性改变。掺杂剂的选择取决于所需的透射波长，其制造过程与常规光学玻璃制造方法类似。这类滤光片之所以备受青睐，是因为其相较于干涉滤光片具有较低的成本。更为关键的是，在使用广角镜头或斜角拍摄时，彩色玻璃滤光片能维持稳定的波长透射性能，不会显示透射波长的变化。

当然，彩色玻璃滤光片也存在一些局限性。由于其截止波段通常较宽，透射曲线不如镀膜干涉滤光片那样锐利和精确，其透射率也相对较低，无法与干涉滤光片相媲美。图1展示了多种常见的彩色玻璃滤光片的透射曲线，从中可

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加速扩散模型！LSTM之父团队新作TGATE：交叉注意力在去噪过程中并非一直有效！ 2024-04-09 21:34

本文设计一种简单有效且无需训练的方法，即时间门控交叉注意力（TGATE），以提高模型推断效率并保持现有扩散模型的生成质量。其在交叉注意力模块收敛后对其输出进行缓存，并在剩余推理步骤中替换交叉注意力模块，显著降低计算量，并加快推理！代码已开源！

点击关注 @CVer官方知乎账号，可以第一时间看到最优质、最前沿的CV、AI、AIGC工作~

快点击进入：Mamba和扩散模型技术交流平台

论文标题：Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

开源代码：https://github.com/HaozheLiu-ST/T-GATE

单位：阿卜杜拉国王科技大学（KAUST），新加坡国立大学（NUS），IDS

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大橘子投资价值发现系列 266：丝路视觉，全国性的CG视觉服务提供商 2024-04-10 12:31

成立于2002年，总部位于中国深圳。

基于CG、VR、AR等数字视觉科技应用，丝路视觉提供以创意为核心，以市场需求为导向的数字创意服务，其业务覆盖数字化展览展示、数字创意的全链条综合解决方案以及数据与设计可视化。

2016年11月4日，丝路视觉登陆深圳证券交易所创业板，成为CG数字创意领域首家上市公司，是国内最早一批从事视觉科技与应用领域的企业之一。

伴随资本助力，丝路视觉进一步布局视觉前沿科技应用研发，覆盖视觉云计算（瑞云科技）、数字孪生应用（提亚数字科技）、VR/AR/MR（丝路视创）等新型数字化基础建设的数字视觉技术应用研究，赋能产业新一轮数字化升级。凭借前瞻性的数字创意与坚实的技术积累，通过持续的技术革新与领域拓展，丝路视觉不断前行，以“文化+科技”为发展方略，成为在数字视觉领域影响全球的中国力量

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艾科瑞特科技：计算机视觉-图像填充模型 2024-04-10 10:51

艾科瑞特科技：计算机视觉-图像填充模型

关键词：目标检测、目标跟踪、图像识别、图像分类、视频分析、自然语言处理、自然语言分析、计算机视觉、人工智能、AIGC、AI、大模型、多模态大模型、API、Docker、镜像、API市场、云市场、国产软件、信创

内容摘要：

图像填充模型基于深度学习和图像处理技术，能够快速、准确地完成图像修复、填充和编辑等操作，使得修复后的图像质量接近甚至达到原图水平，其应用场景示例：

老照片修复：对老旧照片中的破损、污渍或缺失部分进行修复，还原历史记忆。

图像去水印：去除图片中的水印或不需要的标识，使图片更加干净、整洁。

图像内容修改：对图片中的特定对象或区域进行修改或替换，如移除多余人物、更改背景等。

创意艺术设计：利用图像填充技术，在图片中添加创意元素或进行艺术创作。

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计算机视觉--------拟合之最小二乘法代码实现 2024-04-09 19:51

思维导图及数学计算推导

代码实现

# 库的导入 import numpy as np import matplotlib.pyplot as plt import random # 数据集的创建 data = [] for i in range(0, 50, 1): x = random.randint(0, 20) y = 3 * x + 6 + random.uniform(0, 10) list = [x, y] data.append(list) data = np.array(data) # 最小二乘法拟合 # X的构建 x = data[:, 0] x_append = np.full(x.shape, 1) X = np.column_stack((x, x_append)) # Y的创建 Y

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Challenging Hackathons

Test your skills, unleash your creativity, and win big： 24/03/20

I started my journey in analytics in August 2014 through an online course. Then came AV which gave a newbie like me a platform when my first article was published.Thereafter the association with AV has grown to AV being my guide and mentor. There is no dearth of analytics resources on the web but when you get it from experts in the Indian analytics space wit

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Share your voice, and win big in blogathons： 08-04-20

Data Science Blogathon 43 rd Edition

The best way to learn any concept, specifically in Data Tech, is by sharing it. Knowledge sharing not only helps you understand what you learned in more detail but sharing it with the community helps others understand how a particular Data Tech idea works.

Analytics Vidhya has always been at the forefront of knowledge s

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Introduction to Python：

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You have come to just the right place!

Most industry experts recommend starting your Data Science journey with Python

Across biggest companies and startups, Python is the most used l

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Microsoft Excel: Formulas & Functions：

Microsoft Excel is the gold standard in data analysis tools. There’s no question about it - industry experts, professionals and evetrans still lean heavily on Excel’s prowess and Swiss Army Knife nature to slice and dice their data.

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Introduction to Natural Language Processing： 21.55.10

Natural Language Processing (NLP) is basically how you can teach machines to understand human languages and extract meaning from text.

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Natural Lang

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Pandas for Data Analysis in Python：

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Pandas is THE most popular Python library in data science and the 4th most popular library in the world (according to StackOverflow’s global survey). The open source nature of Pandas isone of the primary reasons for its

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Building Production Ready RAG systems using LlamaIndex：

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Applied Machine Learning：

Machine Learning is re-shaping and revolutionising the world and disrupting industries and job functions globally. It is no longer a buzzword - many different industries have already seen automation of business processes and disruptions from Machine Learning. In this age of machine learning, every aspiring data scientist is expected to upskill themselves in

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Getting Started with Deep Learning：

Deep learning algorithms are revolutionizing data science industry and disrupting several domains. From computer vision applications to natural language processing (NLP) use cases - every field is benefitting from use of Deep Learning models.

This course starts by assuming no knowledge about Neural Networks and Deep Learning and introduces these subjects to

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Introduction to Natural Language Processing (NLP)：

Human languages and programming languages have always been marginalized into two separate groups, and because of this, it has been traditionally difficult for a computer to “make sense” of the data generated by normal human conversations. This necessitates the discovery and innovation of techniques around mining insights from natural language and power appli

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Exploring Natural Language Processing (NLP) using Deep Learning：

Recent Developments in NLP

In the past couple of years, the amount of research and breakthroughs in NLP has skyrocketed. Now every month we get to see state-of-the-art NLP models and architectures.

This incredible rise of NLP can be traced back to the paper – “Attention is All You Need” by Google AI in June 2017. This breakthrough has spawned so many new a

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Introduction to Business Analytics：

Getting Started with Business Analytics

What is Business Analytics? Why has it become so popular recently? What are some of the popular applications of Business Analytics? And more importantly, how can you get started with learning Business Analytics from scratch?

With growth in digitisation, Business Analytics is ubiquitous right now. Organizations are sp

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Getting Started with Neural Networks：

Introduction to Neural Networks

What is a neural network? How does it work? What does a neural network do? Learn neural networks for free in this course and get your neural network questions answered, including applications of neural networks in deep learning.

Learn how neural networks work in deep learning

Do you want to acquire a super power? How ab

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Loan Prediction Practice Problem (Using Python)：

This course is designed for people who want to solve binary classification problems. Classification is a skill every Data Scientist should be well versed in.

In this course, we are solving a real life case study of Dream Housing Finance. The company deals in all home loans. They have a presence across all urban, semi-urban and rural areas. Customers first a

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Tableau for Beginners：

Why should you use Tableau?

Tableau, as we mentioned above, is the gold standard in analytics and business intelligence. It is a widely used tool in the industry, both in big firms as well as startups. Tableau helps us create effective, impactful and beautiful dashboards and stories that our clients and stakeholders love.

There are a ton of job vacancies f

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Ensemble Learning and Ensemble Learning Techniques：

Just like you come to a decision to buy a car by reading multiple reviews and opinions, in machine learning also, you can combine the decisions from multiple models to improve the overall performance. This technique of combining multiple machine learning models is called ensemble learning.

Why do we need to know about Ensemble Learning?

Ensemble learning i

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Time Series Forecasting using Python：

‘Time’ is the most important factor which ensures success in a business. It’s difficult to keep up with the pace of time. But, technology has developed some powerful methods using which we can ‘see things’ ahead of time!

Nope, not the time machine, we are talking about the methods of prediction & forecasting. As the name ‘time series forecasting’ suggests,

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Python： 2016-01-14T21:33:17+00:00

Introduction

It happened a few years back. After working on SAS for more than 5 years, I decided to move out of my comfort zone. Being a data scientist, my hunt for other useful tools was ON! Fortunately, it didn’t take me long to decide – Python was my appetizer.

I always had an inclination for coding. This was the time to do what I really loved. Code. Tu

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R： 2016-02-28T19:21:05+00:00

Overview

Free tutorial to learn Data Science in R for beginners

Covers predictive modeling, data manipulation, data exploration, and machine learning algorithms in R

Introduction

R is a powerful language used widely for data analysis and statistical computing. It was developed in early 90s. Since then, endless efforts have been made to improve R’s user i

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SQL： 2022-01-19T11:41:17+00:00

This article was published as a part of the Data Science Blogathon.

Introduction

According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026. Data is collected and processed in every company regardless of the domain.

Data scientists dive

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Jupyter Notebooks： 2018-05-24T06:16:47+00:00

One of the most common questions people ask is which IDE/environment/tool to use while working on your data science projects. Plenty of options are available – from language-specific IDEs like R Studio, PyCharm to editors like Sublime Text or Atom – the choice can be intimidating for a beginner. If there is one tool that every data scientist should use or mu

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TensorFlow： 2021-11-02T07:16:55+00:00

You’ve probably heard of TensorFlow if you’re a machine learning student. It has become an industry norm and is one of the most common tools for machine learning and deep learning experts.

TensorFlow is a free and open-source library for creating machine learning models. It is a fantastic platform for everyone interested in working with machine learning and

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Estimate Bottle Orientation with Computer Vision： 2024-04-10T10:30:55.000Z

The article below was contributed by Timothy Malche, an assistant professor in the Department of Computer Applications at Manipal University Jaipur.

Keypoint detection in computer vision is a technique used to identify distinctive points or locations in an image that can be used as references for further analysis such as object recognition, pose estimation,

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What is MediaPipe? A Guide for Beginners.： 2024-04-10T10:18:40.000Z

This article was contributed to the Roboflow blog by Abirami Vina .

Advances in AI over the last few years, such as those made by Google's MediaPipe , make it possible to create incredible experiences that blend the digital and physical worlds together. MediaPipe is an open-source framework developed for building machine learning pipelines. MediaPipe is esp

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