Weekly Machine Learning Research Paper Reading List # 3
Author(s): Durgesh Samariya This week (17/8/2020–23/8/2020), I am going to read 3 research papers on outlying aspect mining. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Hey Newcomers! Let’s Peek into Data Science Jobs
Author(s): Jack Chang A full-rounded job safari guide for students entering the data field! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Object Detection — Document Layout Analysis Using Monk AI
Author(s): Swapnil Ahlawat Object Detection to identify regions of a document. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Use of Decision Trees and Random Forest in Machine Learning
Author(s): Sharon Lim An Insight into Supervised Learning for Classification Problems Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Quickly Preprocess and Visualize Text Data with TextHero
Author(s): Chetan Ambi How to quickly preprocess, represent and visualize the text data in Python using TextHero library Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Risk of holding 2+ NASDAQ stocks in your portfolio
Author(s): Michelangiolo Mazzeschi The issue is correlation… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding Z-Scores in Statistics
Author(s): Saiteja Kura A deep-dive into Z-score, a widely used metric in Statistics Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
REALM: Retrieval-Augmented Language Model Pre-Training
Author(s): Edward Ma Natural Language Processing An Introduction to Retrieval-Augmented Language Model Pre-Training Photo by Edward Ma on Unsplash Since 2018, the transformer-based language model has been proven to achieve good performance in lots of NLP downstream tasks such as Open-domain Question Answer …
Yolo-v5 Object Detection on a custom dataset.
Author(s): Balakrishnakumar V Step by step instructions to train Yolo-v5 & do Inference(from ultralytics) to count the blood cells and localize them. I vividly remember that I tried to do an object detection model to count the RBC, WBC, and platelets on …
The NLP Model Forge
Author(s): Quantum Stat Photo by Jesse Collins on Unsplash Natural Language Processing Unlocking Inference for 1,400 NLP Models Streamlining an inference pipeline on the latest fine-tuned NLP model is a must for fast prototyping. However, with the plethora of diverse model architectures and NLP …
Exploring Stock Market Correlations
Author(s): Frederik Bussler Validating insights with r². Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding Abstractive Text Summarization from Scratch
Author(s): Gundluru Chandrasekhar A CNN news articles summarization case study Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Are Stories with Numbers in Headlines More Successful?
Author(s): Dorian Lazar Let’s find that out using Statistics Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Sign Language classification using MonkAI
Author(s): Aanisha Bhattacharyya Sign Language is used to communicate with persons suffering with speech-impairment. A classifier helps us to communicate better with them. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
CycleGAN as a Denoising Engine for OCR Images
Author(s): Sharon Lim Cleaning up scanned but dirty documents to their original form. With a clean document, performing OCR will be a much more accurate task. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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