線上機械學習基礎與進階課程/Basic and Advanced Mechine Learning Programme on line

 




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



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生成式AI於創新教育之應用 Generative Artificial Intelligence for Innovative Education

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  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
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Gemini 2.0 Flash Experimental now natively supports image generation //// Gemini 2.0 Flash 實驗版現在支援更自然的圖像生成及編輯

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  Google AI Studio  中使用實驗版本的 Gemini 2.0 Flash (gemini-2.0-flash-exp) 已開放使用。Gemini 2.0 Flash 結合多模態輸入、增強推理和自然語言理解來創造圖像。在人臉生成部分也更為自然不扭曲.... 對深偽詐騙議題形成更大挑戰.... An experimental version of Gemini 2.0 Flash (gemini-2.0-flash-exp) is now available in Google AI Studio, which combines multimodal input, augmented reasoning and natural language understanding to create images. Face generation is also more natural and less distorted. .... Creating a greater challenge to the problem of Deep Fake 快來 Google AI Studio 試試
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AR 擴增實境於時尚產業之應用/AR Enhanced Reality in the Fashion Industry

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  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
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