Contents

CS, ML/DS, & Others

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Outline

(1) CS
1–1 Embedded Systems: FreeRTOS / STM32 HAL / Modbus Protocol / PyQt5
1–2 C/C++
1–3 LeetCode (w. C++)
1–4 Operating Systems

(2) ML/DS

(3) Others

(1) CS

1–1 Embedded Systems: FreeRTOS / STM32 HAL / Modbus Protocol / PyQt5

[1] Hands-On FreeRTOS in STM32 01 — Producer-Consumer Problem

[2] Parasitic Capacitance: A Real-World Case in Embedded Systems

[3] A Brief Walkthrough of Modbus with Diagrams

[4] STM32 HAL Library Notes with Diagrams

[5] PyQt5: Oscilloscope-Like Dynamic Line Chart

[6] PyQt5: Automatic Connection, pyqtSlot(), & User-Defined Slot Function

1–2 C/C++: Multithreading / Interview Questions / TCP sockets

[1] Hands-On Multithreading with C++ 05 — Readers-Writers Problem

[2] Hands-On Multithreading with C++ 04 — Producer-Consumer Problem

[3] Hands-On Multithreading with C++ 03 — Deadlock

[4] Hands-On Multithreading with C++ 02 — Synchronization

[5] Hands-On Multithreading with C++ 01 — Overview

[6] Hands-On TCP Sockets with C++ & Vim on Ubuntu

[7] C Interview Questions 03: Bitwise Operations / Sizes of Structs / Volatile

[8] C Interview Questions 02: Makefile, Scope and Lifetime, Call by Value, & Data Types

[9] C Interview Questions 01: Pointers & Endianness

1–3 LeetCode (w. C++)

[1] LeetCode: ???. Flower Bouquets [DP] (Medium)

[2] Leetcode : 525. Contiguous Array [Array] (Medium)

[3] Leetcode : 605. Can Place Flowers [Array] (Easy)

1–4 Operating Systems

[1] OS Walkthrough 05 — Deadlock

[2] OS Walkthrough 04 — File Management & I/O

[3] OS Walkthrough 03 — Memory Management

[4] OS Walkthrough 02 — Synchronization

[5] OS Walkthrough 01 — Multi-threading & CPU Scheduling

(2) ML/DS

ML25: Top 7 % in Give-Me-Some-Credit on Kaggle

ML24: Top 4% in Titanic on Kaggle

ML23: Handling Missing Values

ML22: Forecasting and Time Series Analysis with Python

ML21: Linear Regression with Python

ML20: Stepwise Linear Regression with R

ML19: The “Linear” in Linear Regression

ML18: NLP — Surname Classification

ML17: Tuning Deep Networks

ML16: Hands-on Text Preprocessing

ML15: PyTorch — CNN on MNIST

ML14: PyTorch — MLP on MNIST

ML13: PyTorch — Simple Linear Regression

ML12: A Detailed PyTorch Tutorial

ML11: Hands-On Line Chart with Python

ML10: Exclusive methods of R & Python

ML09: Measuring Running Time in Python & R

ML08: Efficiency Tips for R

ML07: What is “Robust” ?

ML06: PyTorch on Google Colab

ML05: Neural Network on iris by Numpy

ML04: From ML to DL to NLP

ML03: PyTorch vs. TensorFlow

ML02: 初探遺失值(missing value)處理

ML01: 線性迴歸中的「線性」

(3) Others

[1] FIN02: 探討債務股本比、現金股利和回購、增減資

[2] FIN01: Fed 的使命、目標、手段與決策

[3] PSY03: 尋覓理想對象的心理學與經濟學

[4] PSY02: 家暴後續恢復守則

[5] PSY01: 四大長期親密關係訣竅