Pros of Grandes Ecoles:
- Very high standard Engineering / Business / Public Administration / Science & Math Colleges.
- Two years of Preparatory Class drilled in advanced Math / Physics / Chemistry.
Cons of Grandes Ecoles:
- “Social Reproduction” of French elites within upper-class families for generations.
- Elitist – all think in the same mould.
This is similar criticism of the 1300-year-old Ancient Chinese Imperial Exams (科举 pronounced in China Fujian province’s Min ‘闽’ dialect as \Kor-coo, sounds like Grande Écoles Entrance Exams “Concours” \Kong-coo) from which Napoleon Bonaparte, who was strongly recommended by the French Jesuits living in China Fujian as a meritocatic Mandarin selection system, copied it for the first French Grande Ecole (GE) : Ecole Polytechnique (X), and subsequently all other GE in the past 200 years till today.
1. Best Introduction : Start From the Basics
Useful tips (Android Studio)
“Comd S” : Hot Reload
“Comd – >” : rotate iPhone simulator 90 degree
2. Coding Tutorials
2.2 More (… eg. Regex Validation Input)
For today’s post, I’ve drawn material not just from one paper, but from five! The subject matter is ‘word2vec’ – the work of Mikolov et al. at Google on efficient vector representations of words (and what you can do with them). The papers are:
- Efficient Estimation of Word Representations in Vector Space – Mikolov et al. 2013
- Distributed Representations of Words and Phrases and their Compositionality – Mikolov et al. 2013
- Linguistic Regularities in Continuous Space Word Representations – Mikolov et al. 2013
- word2vec Parameter Learning Explained – Rong 2014
- word2vec Explained: Deriving Mikolov et al’s Negative Sampling Word-Embedding Method – Goldberg and Levy 2014
From the first of these papers (‘Efficient estimation…’) we get a description of the Continuous Bag-of-Words and Continuous Skip-gram models for learning word vectors (we’ll talk about what a word vector is in a moment…). From the second paper we get more illustrations of the…
View original post 1,685 more words
In memory of Prof Zhang Shoucheng 张首晟教授 who passed away on 1 Dec 2018.
Key Points :
- Quantum Computing with “Angel Particle” (no anti-particle) : [Analogy] Complex Number (a + i.b) , ‘Anti’ = Conjugate = a – i.b, ‘No anti’ = Real number = a
- A. I. Natural Language Algorithm : “Word To Vector” eg. King / Queen (frequently appear together) , etc.
- Data Privacy and Big Data Analytics with A. I. : Homomorphic Encryption, ie reveal data but not privacy. (eg. Millionaire Problem)
Today 4 Dec 2018 is a “Big Day” with Flutter 1.0 finally out from Beta. Just like Kotlin was announced by Google in 2017 to substitute the painful old Java.
Flutter is the UI design tool for next Google secretive OS “Fuchsia” to replace Android.