Deep Learning Project and datasets, Cheat Sheet of Computer science

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Deep Learning

Projects

With

Datasets Details

Covid

● Bing Coronavirus ○ Classify Bing Queries as either specific (e.g. about a specific location) or generic. You might have to figure out a more exact definition of specific or generic though ○ Dataset: BingCoronavirusQuerySet ● Covid Clinical Data ○ Rank and sort high risk patients using clinical data. Pick an interpretable approach if you can. ○ Dataset: CovidClinicalData If you haven't already, checkout Kaggle's Covid19 Section as well. It has datasets and ideas both.

Text

● Autonomous Tagging of StackOverflow Questions ○ Make a multi-label classification system that automatically assigns tags for questions posted on a forum such as StackOverflow or Quora. ○ Dataset: StackLite or 10% sample ● Keyword/Concept identification ○ Identify keywords from millions of questions ○ Dataset: StackOverflow question samples by Facebook ● Topic identification ○ Multi-label classification of printed media articles to topics ○ Dataset: Greek Media monitoring multi-label classification

Natural Language Understanding

○ Dataset: 45 years of rainfall data ● Multi-variate Time Series Forecasting ○ How polluted will your town's air be? Pollution Level Forecasting ○ Dataset: Air Quality dataset ● Demand/load forecasting ○ Find a short term forecast on electricity consumption of a single home ○ Dataset: Electricity consumption of a household ● Predict Blood Donation ○ We're interested in predicting if a blood donor will donate within a given time window. ○ More on the problem statement at Driven Data. ○ Dataset: UCI ML Datasets Repo

Recommendation systems

● Movie Recommender ○ Can you predict the rating a user will give on a movie? ○ Do this using the movies that user has rated in the past, as well as the ratings similar users have given similar movies. ○ Dataset: Netflix Prize and MovieLens Datasets ● Search + Recommendation System ○ Predict which Xbox game a visitor will be most interested in based on their search query ○ Dataset: BestBuy ● Can you predict Influencers in the Social Network? ○ How can you predict social influencers? ○ Dataset: PeerIndex

Vision

● Image classification ○ Object recognition or image classification task is how Deep Learning shot up to it's present-day resurgence ○ Datasets: ■ CIFAR- ■ ImageNet ■ MS COCO is the modern replacement to the ImageNet challenge

■ MNIST Handwritten Digit Classification Challenge is the classic entry point ■ Character recognition (digits) is the good old Optical Character Recognition problem ■ Bird Species Identification from an Image using the Caltech-UCSD Birds dataset dataset ○ Diagnosing and Segmenting Brain Tumors and Phenotypes using MRI Scans ■ Dataset: MICCAI Machine Learning Challenge aka MLC 2014 ○ Identify endangered right whales in aerial photographs ■ Dataset: MOAA Right Whale ○ Can computer vision spot distracted drivers? ■ Dataset: State Farm Distracted Driver Detection on Kaggle ● Bone X-Ray competition ○ Can you identify if a hand is broken from a X-ray radiographs automatically with better than human performance? ○ Stanford's Bone XRay Deep Learning Competition with MURA Dataset ● Image Captioning ○ Can you caption/explain the photo a way human would? ○ Dataset: MS COCO ● Image Segmentation/Object Detection ○ Can you extract an object of interest from an image? ○ Dataset: MS COCO, Carvana Image Masking Challenge on Kaggle ● Large-Scale Video Understanding ○ Can you produce the best video tag predictions? ○ Dataset: YouTube 8M ● Video Summarization ○ Can you select the semantically relevant/important parts from the video? ○ Example: Fast-Forward Video Based on Semantic Extraction ○ Dataset: Unaware of any standard dataset or agreed upon metrics? I think YouTube 8M might be good starting point. ● Style Transfer ○ Can you recompose images in the style of other images? ○ Dataset: fzliu on GitHub shared target and source images with results

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