Data Science Austria

How to label text for sentiment analysis — good practises

Have you ever started a sentiment analysis or other text classification task only to see that you are not getting good results? The list of possible problems to look into is long, but there are two aspects that you may be underlooking and overlooking in this order. The first aspect … Read moreHow to label text for sentiment analysis — good practises

Superhuman “cell-sight” with Deep Learning

Using “in silico labeling” to predict fluorescent labels in unlabeled images and cell morphology, components, and structures. An analysis of the paper In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images published in Cell. Fluorescently tagged neuronal cell culture. Source Take a look at this image, and tell me what you … Read moreSuperhuman “cell-sight” with Deep Learning

NLP Learning Series: Part 2 — Conventional Methods for Text Classification

NLP Learning Series (Part 2) Teaching Machines to Learn Text This is the second post of the NLP Text classification series. To give you a recap, recently I started up with an NLP text classification competition on Kaggle called Quora Question insincerity challenge. And I thought to share the knowledge via a … Read moreNLP Learning Series: Part 2 — Conventional Methods for Text Classification

Review: YOLOv3 — You Only Look Once (Object Detection)

Improved YOLOv2, Comparable Performance with RetinaNet, 3.8× Faster! YOLOv3 In this story, YOLOv3 (You Only Look Once v3), by University of Washington, is reviewed. YOLO is a very famous object detector. I think everybody must know it. Below is the demo by authors: YOLOv3 As author was busy on Twitter and … Read moreReview: YOLOv3 — You Only Look Once (Object Detection)

Web scraping with Python — A to copy Z

Handling BeautifulSoup, avoiding blocks, enriching with API, storing in a DB and visualizing the data Photo by michael podger on Unsplash Introduction What is web scraping and when would you want to use it? The act of going through web pages and extracting selected text or images. An excellent tool for getting … Read moreWeb scraping with Python — A to copy Z

Naive Bayes: Intuition and Implementation

Introduction: What Are Naive Bayes Models? In a broad sense, Naive Bayes models are a special kind of classification machine learning algorithms. They are based on a statistical classification technique called ‘Bayes Theorem’. Naive Bayes model are called ‘naive’ algorithms becaused they make an assumption that the predictor variables are independent … Read moreNaive Bayes: Intuition and Implementation