機器學習

因果革命 = 人工智慧的大未來 / by: (Electronic resources)

基於Muzero演算法的黑白棋程式 = = An othello program based on Muzero algorithm / by: (Language materials, printed)

超圖解資料科學x機器學習實戰探索 : = 使用Python = Practical exploration / by: (Language materials, printed)

應用機器學習於大台北地區不動產之估價 = = The valuation of selling price of real estate in Taipei metro area with machine learning / by: (Language materials, printed)

應用波形特徵曲線擬合與機器學習於中醫脈象分類 = = Application of waveform characteristic curve fitting and machine learning in the classification of pulse diagnosis in traditional Chinese medicine / by: (Language materials, printed)

Si-EYE深度學習與卷積神經網路 : = 圖像檢測原理與應用 / by: (Language materials, printed)

人人都學得會的網路大數據分析入門 : = 專為非專業人士所寫的機器學習指引 / by: (Language materials, printed)

機器學習的統計基礎 : = 學習AI一定要懂 : 深度學習背後的核心技術 = Statistics / by: (Language materials, printed)

PyTorch深度學習 : = 電腦視覺流行專案親自動手 / by: (Language materials, printed)

深度學習實務應用 : = 雲端、行動與邊緣裝置 / by: (Language materials, printed)

偵測憂鬱傾向者情緒狀態 : = 以機器學習分析PTT電子佈告欄文章 = Detection of mood state of people with depression : analyzing PTT bulletin board system articles by machine learning / by: (Language materials, printed)

基於視覺感知之H.266/VVC畫面內編碼快速演算法 = = Fast H.266/VVC intra coding algorithm based on visual perception / by: (Language materials, printed)

使用基於Twitter評論之情感分析以預測NBA後起之秀 = = Using sentimental analysis to predict NBA rising star based on Twitter data / by: (Language materials, printed)

辨識惡意彈出式之廣告 : = 使用隨機森林演算法 = Identify malicious pop up ads:using random forest algorithm / by: (Language materials, printed)

應用機器學習及二次交易策略於股票投資之研究 : = 以科技產業大型股為例 / by: (Language materials, printed)

Reinforcement learning中文版 : = 強化學習深度解析 / by: (Language materials, printed)

單變量時序資料異常檢測模型比較 = = Comparing model performance for univariate time-series data anomaly detection / by: (Language materials, printed)

應用深度與機器學習方法分析偏鄉復康巴士需求預約重現性 : = 以花蓮縣為例 = Incorporating deep and machine learning approaches to analyze demand recurrence patterns of rehabilitation transportation service in rural area / by: (Language materials, printed)

哈佛商業評論推薦必讀AI趨勢 / by: (Language materials, printed)

AI和ChatGPT 人類和機器共生的未來 by: (Electronic resources)

一個基於分析電子郵件結構特徵有效的SPAM過濾機制 = = An Effective Spam Filtering Mechanism based on Analyzing E-mail Structure Features / by: (Language materials, printed)

一個以分析超連結為基礎且具備遞增式學習能力的郵件過濾器 = = A Mail Filter with the Ability of Incremental-Learningbased on URL Analyzing / by: (Language materials, printed)

機器學習理論、方法及應用 / by: (Language materials, printed)

生物資訊學中的機器學習分析方法 / by: (Language materials, printed)

使用技術指標預測比特幣價格之研究 = = The prediction of Bitcoin price based on technical indicators / by: (Language materials, printed)

應用隨機森林預測高雄市房價 = = Applying random forests to predict the housing price in Kaohsiung City / by: (Language materials, printed)

以機器學習強化棋類遊戲 = = Optimize program strength on board games using machine learning / by: (Language materials, printed)

以深度式強化式學習增強迷你將棋程式的棋力 = = Use deep reinforcement learning to enhance the power of a minishogi program / by: (Language materials, printed)

基於機器學習之H.266/VVC快速編碼演算法 = = Fast coding algorithm based on machine learning for H.266/VVC / by: (Language materials, printed)

結合技術指標及特徵擷取方法於比特幣價格預測之研究 = = Combining technical indicators and feature selection methods to predict Bitcoin price / by: (Language materials, printed)

深度學習 : = Deep Learning. / by: (Language materials, printed)

以機器學習方法分析財務報表操控之研究 = = Analyzing financial statement manipulation by using machine learning / by: (Language materials, printed)

外匯趨勢預測 = = A moving average approach to predicting forex market price trends with machine learning / by: (Language materials, printed)

Kaggle競賽 : = 預測分子性質 = Kaggling predicting molecular properties competition / by: (Language materials, printed)

TinyML : = TensorFlow Lite機器學習 : 應用Arduino與低耗電微控制器 / by: (Language materials, printed)

Python機器學習超進化 : = AI影像辨識跨界應用實戰 = Machine learning evolution with Python / by: (Language materials, printed)

寫給程式設計師的深度學習 : = 使用fastai和PyTorch / by: (Language materials, printed)

Deep learning. = 用Python進行深度學習框架的開發實作 /. 3 : by: (Language materials, printed)

使用隨機森林預測台灣上市櫃公司之企業信用風險評等 = = Using random forest to predict Taiwan credit risk index of public owned corporation / by: (Language materials, printed)

Kaggle競賽攻頂秘笈 / by: (Language materials, printed)

以物流需求重現性為基礎探討偏鄉物流輸配送管理之應用 = = Exploring the application of logistics distribution management in rural areas based on logistics demand recurrences / by: (Language materials, printed)

偏鄉客貨共載願付價格之研究 : = 以花蓮縣為例 = Willingness-to-pay of integrated passengers and freight transportation service in rural area - case studies in Hualien County / by: (Language materials, printed)

人人都學得會的網路大數據分析入門 = 專為非專業人士所寫的機器學習指引 / by: (Electronic resources)

人工智慧開發第一步. = First step to artificial intelligent development-hardware installation and configuration /. 硬體建置篇 by: (Electronic resources)

基於機器學習分析高端疫苗新聞內容之媒體報導風格 = = Analyzing the media reporting style of medigen COVID-19 vaccine news content based on machine learning / by: (Language materials, printed)

無人機適性化飛行路徑與充電機制 = = An adaptive flight path and charging mechanism for unmanned aerial vehicles / by: (Language materials, printed)

應用YOLO於煙囪排放煙霧與水蒸氣辨識之研究 = = Research on the application of YOLO in the chimney smoke and steam detection / by: (Language materials, printed)

Python機器學習入門與實戰 / by: (Language materials, printed)

JavaScript x ChatGPT第一次學就上手 / by: (Language materials, printed)

AI(ChatGPT)的教學與評量 = = Teaching and assessment of AI (ChatGPT) / by: (Language materials, printed)

LLM走進你的電腦 : = 自己動手開發大型語言模型應用 / by: (Language materials, printed)

LangChain開發手冊 : = OpenAI × LCEL表達式Agent自動化流程.RAG擴展模型知識 圖形資料庫.LangSmith除錯工具 / by: (Language materials, printed)