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 台灣國際弄碼客聯盟已成立，歡迎加入並給予指教:  IDNA Taiwan International Digital Nomad Alliance is established, welcome to join and give advice. IDNA News 台灣弄碼客國際聯盟歡迎國際人才為台灣加油

  數位遊牧（Digital Nomad）是一種結合遠端工作與旅行的生活方式，特別受到斜槓工作者與年輕世代的青睞。透過網際網路，人們不再受限於特定辦公室，而是能夠在世界各地自由移動，邊工作邊探索不同文化。只需一台筆電與穩定網路，便可從事自由職業、內容創作、線上教育或科技開發等工作，實現經濟獨立與生活自由。這種模式不僅提供靈活的職涯選擇，還讓人們建立國際人脈，提升多元技能。許多國家已推出「數位遊牧簽證」，讓遠端工作者能夠長期居住，進一步推動數位遊牧文化的發展。隨著遠端辦公技術的進步，數位遊牧將成為未來職場趨勢，為年輕世代開創更多可能性，讓工作與生活更加自由、豐富且充滿探索機會。 歡迎加入 台灣弄碼客學會 ，探索職涯更多可能性:  Welcome to join in   Taiwan Digital Nomad Alliance Digital Nomad is a lifestyle that combines remote work and travel, especially favored by leveraged workers and the younger generation. Instead of being confined to a specific office, the Internet allows people to move around the world and explore different cultures while working. With just a laptop and a stable Internet connection, people can work in freelance jobs, content creation, online education, or technology development, realizing financial independence and freedom. This model not only provides flexible career choices, but also allows people to build international networks and diversify their skills. Ma...

  LinkedIn Prof Yuh Wen Chen We are invited to deliver some basic courses online cooperated with   Universitas Negeri Malang , which are available for studying basic and advanced issues in data science: 1. Fundamentals of Big Data Analysis Unit 1 2. Python Basics with Colab and a start for Machine Learning Unit 2 3. Moving Average, Simple and Multiple Regression Unit 3 4. Clustering  Unit 4 5. Association Rules in Marketing   Unit 5 6 Neural Networks   Unit 6

  YOLO (You Only Look Once) 是一系列即時物件偵測的機器學習演算法。物件偵測是電腦視覺的基本任務，利用神經網路來識別和分類影像中的物件。這項技術的應用範圍非常廣泛，包括醫療成像、自動車和監控系統。在用於物體偵測的各種機器學習方法中，卷積神經網路 (CNN) 扮演了舉足輕重的角色。 CNN 是所有 YOLO 模型的基礎，可讓研究人員與工程師有效率地執行物件偵測與分割任務。作為開放原始碼的模型，YOLO 已經在該領域中獲得廣泛採用，並在相繼的版本中不斷改進，提高了精確度、性能和附加功能。 YOLO (You Only Look Once) is a family of real-time object detection machine learning algorithms. Object detection, a fundamental task in computer vision, leverages neural networks to identify and classify objects within images. This technology has a broad range of applications, including medical imaging, autonomous vehicles, and surveillance systems. Among the various machine learning approaches used for object detection, convolutional neural networks (CNNs) play a pivotal role.  CNNs serve as the foundation for all YOLO models, enabling researchers and engineers to perform object detection and segmentation tasks efficiently. As open-source models, YOLO has gained widespread adoption in the field, with continuous improvemen...

  擴增實境（AR）在時尚產業中的應用提供了許多創新方式來增加附加價值，這包括改善顧客體驗、增強品牌互動以及提供個性化選項。本專題計畫允許顧客在不需要實際試戴帽子的情況下，透過智能手機或鏡子即時看到自己模擬戴帽的樣子。這不僅提升了購物體驗，還能減少因穿戴導致的衛生問題。未來這些數位資產也有助於公司運用於預測消費者偏好，並設計符合市場需求產品。 The use of Augmented Reality (AR) in the fashion industry offers a number of innovative ways to add values to SMEs, including improving the customer experience, enhancing brand interaction and providing personalization options. This project allows customers to see themselves in a simulated hat on a smartphone or mirror in real time, without actually trying on the hat. This not only enhances the shopping experience, but also reduces hygiene issues associated with wearing hats. In the future, these digital assets will also help the company to anticipate consumer preferences and design products that meet market needs. 歡迎一起來開發...   AVR 開發平台 Zap Works

  所謂生成式AI源自賽局理論，當二個神經網路: 偽造者及辨別者進行博奕時 ，因為偽造的資料在演化後會逼近真實 ，所以會真假難辨 。 近期熱門的ChatGPT 、 圖人工智慧合成圖片 、 音樂或電影皆緣此而生 ，有興趣深入探究者可參考: Generative Adversarial Networks The generative AI comes from the game theory, when two neural networks, the generator and the discriminator, play a game, it is difficult to distinguish the real from the fake because the fake data will be close to the real one after the evolution. The recent popularity of ChatGPT, nearly fake pictures or fake films are all caused by this, if you are interested in exploring this in depth, please refer to. 在創新教育領域 ， 生成式AI也逐漸帶來了很多衝擊跟變革 ，請參考如何把課堂轉為與學生積極互動及體驗的遊樂場..... Considering the innovative education for the future, generative AI is also gradually bringing a lot of impact and change, please refer to how to turn the classroom into a playground for active interaction and experience with students ..... 歡迎下載投影片運用