# Fake News Detection for Social Media, News outlets ## Data & References - BuzzFeed dataset - Based on [Reis et al](https://homepages.dcc.ufmg.br/~fabricio/download/websci-reis-2019.pdf) -  - From [dataflair](https://data-flair.training/blogs/advanced-python-project-detecting-fake-news/) - [FakeNewsChallenge](http://www.fakenewschallenge.org): [Cisco-Talos group](https://github.com/Cisco-Talos/fnc-1) - [r/Fakeddit](https://paperswithcode.

# Face Detection - Facial Expression+Age+Gender Classification ### Libraries `tensorflow 2.0.0` `opencv` `hog from skimage.feature` `dlib` ### Data The age+gender model is trained on Baidu's All-Age-Faces (AAF). [link here](https://github.com/JingchunCheng/All-Age-Faces-Dataset) The facial expression model is trained on Kaggle dataset [FER2013](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data) containing labeled 3589 test images, 2870

--- title: 'Tâm - Setup MIMIC - 03/01/20' tags: BKHCMUT, Research, Cao Hoang Tru, Vo Thi Ngoc Chau --- Setup MIMIC - 03/01/20 === ## Table of Contents [TOC] ## Downloading MIMIC data to local PostGre - Data files Link https://physionet.org/content/mimiciii/1.4/ - Download via command line & web browser -> too slow - Download via Amazon s3: Access permission error (https://registry.opendata.aws/mimiciii/) - Install https://docs.aws.amazon.com/cli/latest/userguide/install-ma

--- title: 'Tâm - Week 3' tags: CoderSchool, Mariana --- Week 3 === ## Table of Contents [TOC] ## Monday ### Weekly project presentation > our group Long Tam github and Heroku app is at (if there is error just reload the website) https://github.com/thtamho/tiki_PostGreSQL_app https://tiki-postgresql-app.herokuapp.com/ - Khoa Dicky and Ly has a website that can filter data by rating/comments, newest (by id), sales off (by discount), - Nhan and Tien has a website that implements a search b

--- title: 'Tâm - Week 7' tags: CoderSchool, Mariana --- Week 7 === ## Table of Contents [TOC] ## Monday ## Tuesday ## Wednesday ## Thursday ### Project presentation Ly-Khoa: - build model from scratch Dinh-Long: - use data augmentation: rotate, zoom, horizontal flip - VGG16 pretrained on imagenet Nhan-Sean: - SGD, RMSProp, Adam - Adam with MobileNetV2 works best 94% Tuc-Felix: - ImageDataGenerator() - EarlyStopping -

--- title: 'Tâm - Week 6' tags: CoderSchool, Mariana --- Week 6 === ## Table of Contents [TOC] ## Monday ### Deep learning intro Deep learning vs machine learning: - deep learning can do feature extraction itself whereas machine learning requires feature extraction separately Gradient vanishing: when data goes through a very deep neural network The artificial neural: Sigmoid function as activation function: - drawback: it is not balanced - when z is very big or very small, the

--- title: 'Tâm - Week 5' tags: CoderSchool, Mariana --- Week 5 === ## Table of Contents [TOC] ## Monday ### how to organize your machine learning project - Frame the problem and look at the big picture - Get the data - Explore the data to gain insights - Prepare the data to better expose the underlying data patterns to ML algorithms - Explore many different models and shortlist the best ones - Fine-tune your models and combine them into a great solution - Present your solution - Launch, mo

--- title: 'Tâm - Week 4' tags: CoderSchool, Mariana --- Week 4 === ## Table of Contents [TOC] ## Monday ### Intro to Machine Learning - Scalar: a number, a vector: - matrix: combinations of vector - Vector addition: adding element-wise, must be of the same dimension - Norm is the length of the vector (between two points end point and start point) - Manhattan distance is the sum of the two end points - Norm infinity $||v||_{infinity}$ is the largest element - $L_p$ is

--- title: 'Tâm - Week 2' tags: CoderSchool, Mariana --- Week 2 === ## Table of Contents [TOC] ## Monday ### Web crawler presentation > Our group Ly-Tam github repo https://github.com/thtamho/tiki-scraping - Tuc and Sean has a responsive webpage, which you can click on the card or buy now to go to product page. They also display TikiNOW icon - Dicky and Tan button also redirects to product page - Tien and Ngoc displays big categories then sub-categories then finally the smallest sub-catego

--- title: 'Tâm - Week 1' tags: CoderSchool, Mariana --- Week 1 === ## Table of Contents [TOC] ## Monday ### What is Machine Learning? 1950 Alan Turing wrote the Turing test! **1. What is Machine Learning** - 1950-2002 few ML researchers - 2002- : hardware breakthroughs help advance ML; computational power breakthru; big data era ~40k exabytes by the end of 2020 - Definitions: Machine learns from experience, learn from data, ~~and follow instructions.~~ **2. How ML works** - **Tradition