Tzu-Chi Lin[The Effective Engineer 筆記] Invest in Iteration Speed這篇是 Execute 底下的第一章,說明迭代(iteration)速度的重要性。迭代指的是,code 從 commit 到 deploy to production 的過程,更廣義的迭代可以說,從有 idea 到 idea in production…7 min read·Feb 6, 2021----
Tzu-Chi Lin[The Effective Engineer 筆記] Prioritize Regularly這是 Adopt the right mindset 下的第三章,也是這部分的最後一章,prioritize regularly,隨時對你要做的事情排序。如同前面提到的,時間是最寶貴、且有限的資源,我們要如何排序、先做high leverage 的事便是一件重要的事5 min read·Jan 31, 2021----
Tzu-Chi Lin[The Effective Engineer 筆記] Optimize for Learning這是 Adopt the right mindset 下的第二章,最佳化學習,可以把它想成,如何提高學習的 leverage 並持續學習。作者認為,世界上有兩種人,一種為 fixed…5 min read·Jan 31, 2021----
Tzu-Chi Lin[The Effective Engineer 筆記] Focus on High-Leverage Activities這是 Adopt the right mindset 下的第一章,也是整本書的核心概念:隨時專注在 high leverage 的活動。所以什麼是 leverage 呢? leverage (n.) 槓桿作用、利用。嗯好像還是完全不懂,讓我們來看看作者的定義4 min read·Jan 19, 2021----
Tzu-Chi LinThe Effective Engineer 筆記如同書名,本書在介紹如何成為有效率的工程師。作者提出了一套架構(framework)和具體的說明,讓讀者可以按部就班的練習,也為每個重點提供了現實生活中的例子2 min read·Jan 19, 2021----
Tzu-Chi Linin30 days of Machine LearningDay 6 — Naive Bayes ClassifierToday we’ll learn a basic classifier based on probability, naive bayes classifier. We start from Bayes theorem. And we’ll see two examples…5 min read·Dec 23, 2018--1--1
Tzu-Chi Linin30 days of Machine LearningDay 5 -Entropy, Relative Entropy, and Cross EntropyToday we’ll focus on the theory of entropy. Understand the intuition of entropy, and how it relates to logistic regression. We’ll cover…5 min read·Dec 21, 2018----
Tzu-Chi Linin30 days of Machine LearningDay 4 — Logistic RegressionToday we’ll focus on a simple classification model, logistic regression. From its intuition, theory, and of course, implement it by our…6 min read·Dec 7, 2018--1--1
Tzu-Chi Linin30 days of Machine LearningDay 3 — K-Nearest Neighbors and Bias–Variance TradeoffToday we’ll learn our first classification model, KNN, and discuss the concept of bias-variance tradeoff and cross-validation. Also, we…8 min read·Dec 4, 2018--5--5
Tzu-Chi Linin30 days of Machine LearningDay 2 — Supervised Learning and Linear RegressionToday we’ll walk through supervised learning, and spend most of the time on linear regression, especially gradient descent algorithm…8 min read·Nov 20, 2018----