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Reading List, May

Thanh Doan
May 31st, 2019 · 2 min read

In this article, I take note some useful books, research papers, and articles that I read in May.

Books

  1. Một Cuốn Sách Về Chủ Nghĩa Tối Giản | May 05 | ✪✪✪✪✪
  2. GAM7 Book 13 — Mạng Xã Hội | May 05 | ✪✪✪✪
  3. Em Là Nhà | May 08 | ✪✪
  4. Vô Thường | May 10 | ✪✪✪
  5. Quy Tắc Của Google | May 15 | ✪✪✪✪✪
  6. Trên Đồi, Mở Mắt, Và Mơ | May 21 | ✪✪✪
  7. No. More. Plastic. — Những gì bạn có thể làm vì một thế giới không tràn ngập nhựa | May 21 | ✪✪
  8. Khởi Hành | May 21 | ✪✪✪✪
  9. Elon Musk: Tesla, SpaceX & Sứ Mệnh Tìm Kiếm Một Tương Lai Ngoài Sức Tưởng Tượng | May 28 | ✪✪✪✪

Science & Technologies

  1. How Google Use User Database | Part 1 — How Google Tracks Your Personal Information (only Medium Member)
  2. How Google Use User Database | Part 2 — How Google Marketers Exploit Your Discomfort (only Medium Member)
  3. How Google Use User Database | Part 3 — How Marketers Use Redirect Ads to Deceive You (only Medium Member)
  4. Go memory ballast: How I learned to stop worrying and love the heap
  5. Guide To The Message Queuing Telemetry Transport Protocol
  6. Tia Sáng — Sự hài hòa giữa lý thuyết và thực nghiệm
  7. fast.ai — Practical Deep Learning for Coders 2019
  8. Understanding Convolutional Neural Networks for NLP
  9. Tensorflow — Implementing Temporal Convolutional Networks
  10. How to solve 90% of NLP problems: a step-by-step guide
  11. Towards | Machine Learning, NLP — Text Classification using scikit-learn, python and NLTK
  12. Report on Text Classification using CNN, RNN & HAN
  13. Automated Question Answering using Semantic Networks
  14. Memory Networks and Why They’re a Good Idea
  15. Ask Me Anything session with a Kaggle Grandmaster Vladimir I. Iglovikov
  16. Understanding LSTM Networks
  17. eBay — Deriving Data Structures (Sachin Tilloo)
  18. High availability and scalable reads in PostgreSQL

S&T. Research Papers

  1. Compressed Image Quality Assessment Based on Saak Features
  2. Social media analytics — Challenges in topic discovery, data collection, and data preparation
  3. Hierarchical Attention Networks for Document Classification
  4. Objective Quality Assessment for Reconstructed Background Images
  5. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
  6. Google Research — A Neural Conversational Model

User Experience — Case Studies

  1. GMessage: how to fix Google’s messaging madness — a UX exploration
  2. Pop-up, popover or popper? — a quick look into UI terms
  3. Redesigning Chrome Desktop — The value of a pixel
  4. Rangle — What is a Design System? (only Medium Member)
  5. Google — Making Material Design
  6. Modus — How We Redesigned Our App’s UI in Only Three Months

Another Care (Education & Self-Improvement)

  1. TS. Lê Viết Quốc —Lúc nào cũng mơ về Việt Nam
  2. Phê Phim — Lịch sử Điện ảnh VIỆT NAM

Thanks for reading!

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