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數學、人工智慧與蟒蛇
Mathematics, AI and Python
ML/DL 數學篇
ML/DL 應用篇
亂寫一些東西
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推薦系統實務 (一) : Embedding 技巧
推薦系統實務 (一) : Embedding 技巧
Practical Recommendation System 01 : Embedding Techniques
Edward Tung
Mar 22, 2021
【隨筆】學習 DevOps 與 MLOps 帶來的一些啟發
【隨筆】學習 DevOps 與 MLOps 帶來的一些啟發
Let’s small talk — Some enlightening moments when I started to learned the concept of DevOps/MLOps
Edward Tung
Feb 22, 2021
因果推論與貝氏結構時間序列模型
因果推論與貝氏結構時間序列模型
INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS (Google Inc. — 2015)
Edward Tung
Jan 11, 2021
Pytorch-Lightning 入坑心得
Pytorch-Lightning 入坑心得
胡亂發一篇以顯得自己很認真系列
Edward Tung
Jan 2, 2021
社會網絡分析(3–2) — 透過非負矩陣分解找出群落
社會網絡分析(3–2) — 透過非負矩陣分解找出群落
[讀論文] Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach (2013)
Edward Tung
Jan 2, 2021
社會網絡分析(3-1)-基於圖理論的網絡表達及分析方法
社會網絡分析(3-1)-基於圖理論的網絡表達及分析方法
Network Representation and Analysis based on Graph Theory;Stanford CS224W Machine Learning with Graphs — Lecture 2 to 3
Edward Tung
Sep 7, 2020
社會網路分析(2) — OPINION DYNAMICS AND BOUNDED CONFIDENCE MODELS
社會網路分析(2) — OPINION DYNAMICS AND BOUNDED CONFIDENCE MODELS
[讀論文] OPINION DYNAMICS AND BOUNDED CONFIDENCE MODELS, ANALYSIS, AND SIMULATION — Rainer Hegselmann & Ulrich Krause (2002)
Edward Tung
Sep 2, 2020
社會網路分析(1) - 基於 F-J 模型的問題架構方法
社會網路分析(1) - 基於 F-J 模型的問題架構方法
[讀論文] SOCIAL INFLUENCE AND OPINIONS — Friedkin & Johnsen (1990)
Edward Tung
Aug 20, 2020
隱馬可夫模型的三大經典問題
隱馬可夫模型的三大經典問題
Sampling and Monte Carlo (Special): 3 classic questions of a hidden markov model
Edward Tung
Aug 15, 2020
Google Apps 如何給用戶做應用程式推薦
Google Apps 如何給用戶做應用程式推薦
[讀論文] Wide And Deep Learning For Recommender Systems — 2016 Google Inc.
Edward Tung
Jun 28, 2020
抽樣與蒙地卡羅(三):馬可夫鏈蒙地卡羅方法
抽樣與蒙地卡羅(三):馬可夫鏈蒙地卡羅方法
Sampling and Monte Carlo (03): Markov Chain Monte Carlo (MCMC) Method
Edward Tung
Feb 2, 2020
抽樣與蒙地卡羅(二):蒙地卡羅方法與重要性抽樣
抽樣與蒙地卡羅(二):蒙地卡羅方法與重要性抽樣
Sampling and Monte Carlo (02): Monte Carlo Method & Importance Sampling
Edward Tung
Jan 28, 2020
SMOTE + ENN : 解決數據不平衡建模的採樣方法
SMOTE + ENN : 解決數據不平衡建模的採樣方法
SMOTE + ENN : A sampling method that solves modeling with an imbalanced dataset
Edward Tung
Oct 26, 2019
抽樣與蒙地卡羅(一):隨機數生成
抽樣與蒙地卡羅(一):隨機數生成
Sampling and Monte Carlo (01):Generating Random Number
Edward Tung
Jul 9, 2019
推薦系統:貝氏個人化推薦 (BPR)
推薦系統:貝氏個人化推薦 (BPR)
Recommender System : Bayesian Personalized Ranking (BPR)
Edward Tung
May 30, 2019
行銷學與資料科學:定位、評估與效益最大化
行銷學與資料科學:定位、評估與效益最大化
Marketing and Data Science : Targeting, Evaluation and Value Maximization
Edward Tung
May 20, 2019
投影梯度下降法解正則化問題:以Lasso回歸為例
投影梯度下降法解正則化問題:以Lasso回歸為例
Solving regularized problem via proximal gradient algorithm:Take Lasso regression as an example
Edward Tung
May 11, 2019
梯度下降原理與實現最小平方估計(In Python 3)
梯度下降原理與實現最小平方估計(In Python 3)
Gradient Descent and the Realization of the Least Square Estimation (In Python 3)
Edward Tung
Apr 30, 2019
巨量計算中的矩陣分解方法 (附Python程式碼)
巨量計算中的矩陣分解方法 (附Python程式碼)
Matrix Decomposition Method for Enormous Calculation
Edward Tung
Apr 16, 2019
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