Combinatorial Optimization: From Supervised Learning to Reinforcement Learning – Part 1

Contents1 Input:2 Output:3 Combinatorial Optimization4 Agenda4.1 Code for Part 1:  https://colab.research.google.com/drive/1MXpJt9FwNJWizcjMM3ZWRh-drwIOnIvM?usp=sharing5 Supervised learning6 1.Generate training data:7 2. Multi-label regression Recently, I was asked to solve an interesting problem: The problem of Sorting Array: Input: An array A contains unique n-elements, whose values are integers. The length (n) of A is ranged from 2 to10. Output: A …

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Japanese Project Leader in AI / Data Science Lab Vietnam

Contents1 Hiring Japanese Project Leader in AI / Data Science Lab Vietnam 2 What you Project Leader will do in AI / Data Science Lab?2.1  Must Skill2.2 Option Skill3 You will love working here!4 ベトナムAIラボ – プロジェクトリーダー(日本語人材)5 About MTI Technology AI Lab6 Hiring Data Scientist / Engineer 7 Data Science Project8 Vietnam AI / Data Science …

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EXPLORING UNIVERSAL SENTENCE ENCODER MODEL (USE)

Contents1 1. What is USE (UNIVERSAL SENTENCE ENCODER MODEL)?2 2.USE architecture2.1 2.1 Transformer encoder 2.2 2.2 Deep Averaging Network (DAN): 3 3. How was it trained?3.1 3.1 Modified skip-thought: In NLP, encoding text is the heart of understanding language.  There are many implementations like Glove, Word2vec, fastText which are aware of word embedding. However, these …

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Introduction to Healthcare Data Science

Contents1 Introduction to Healthcare Data Science (Overview)2 Types of Epidemiologic Studies2.1 Interventional or Randomized control study2.2 Observational studies2.2.1 Follow-up study/ Prospective study/ Longitudinal (incidence) study2.2.2 Retrospective study/ Case-Control study2.2.3 Cross-sectional (Prevalence) study/ Prevalence study2.3 Meta-data analysis3 Modern Healthcare Data analytics approach3.1 Secondary Analysis and modern healthcare data analytics approach3.2 Electronic Health Record (EHR)3.2.1 Demographics3.2.2 Physical …

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