From 8b47729a3db9e4932a5825b9a032417402bb928f Mon Sep 17 00:00:00 2001 From: Omar Santos Date: Mon, 4 Sep 2023 23:34:07 -0400 Subject: [PATCH 1/2] Create README.md --- .../ai_generated/data/use_cases/README.md | 52 +++++++++++++++++++ 1 file changed, 52 insertions(+) create mode 100644 ai_security/ML_Fundamentals/ai_generated/data/use_cases/README.md diff --git a/ai_security/ML_Fundamentals/ai_generated/data/use_cases/README.md b/ai_security/ML_Fundamentals/ai_generated/data/use_cases/README.md new file mode 100644 index 0000000..50eb737 --- /dev/null +++ b/ai_security/ML_Fundamentals/ai_generated/data/use_cases/README.md @@ -0,0 +1,52 @@ +# Use Cases + +- [3D_Printing_usecase.md](3D_Printing_usecase.md) +- [Agricultural_AI_usecase.md](Agricultural_AI_usecase.md) +- [Astronomical_Research_usecase.md](Astronomical_Research_usecase.md) +- [Augmented_Reality_(AR)_usecase.md](Augmented_Reality_(AR)_usecase.md) +- [Autonomous_Drones_usecase.md](Autonomous_Drones_usecase.md) +- [Bioinformatics_usecase.md](Bioinformatics_usecase.md) +- [Chatbots_and_Virtual_Assistants_usecase.md](Chatbots_and_Virtual_Assistants_usecase.md) +- [Content_Creation_usecase.md](Content_Creation_usecase.md) +- [Credit_Scoring_usecase.md](Credit_Scoring_usecase.md) +- [Customer_Segmentation_usecase.md](Customer_Segmentation_usecase.md) +- [Cybersecurity_usecase.md](Cybersecurity_usecase.md) +- [Drug_Discovery_usecase.md](Drug_Discovery_usecase.md) +- [E-commerce_Visual_Recognition_usecase.md](E-commerce_Visual_Recognition_usecase.md) +- [E-learning_Platforms_usecase.md](E-learning_Platforms_usecase.md) +- [Elderly_Care_Robotics_usecase.md](Elderly_Care_Robotics_usecase.md) +- [Energy_Consumption_Optimization_usecase.md](Energy_Consumption_Optimization_usecase.md) +- [Facial_Recognition_usecase.md](Facial_Recognition_usecase.md) +- [Fraud_Detection_usecase.md](Fraud_Detection_usecase.md) +- [Handwriting_Recognition_usecase.md](Handwriting_Recognition_usecase.md) +- [Healthcare_Diagnosis_usecase.md](Healthcare_Diagnosis_usecase.md) +- [Human_Resources_(HR)_usecase.md](Human_Resources_(HR)_usecase.md) +- [Language_Learning_Apps_usecase.md](Language_Learning_Apps_usecase.md) +- [Language_Translation_Services_usecase.md](Language_Translation_Services_usecase.md) +- [Learning_Analytics_in_Education_usecase.md](Learning_Analytics_in_Education_usecase.md) +- [Legal_Document_Analysis_usecase.md](Legal_Document_Analysis_usecase.md) +- [Natural_Language_Processing_(NLP)_usecase.md](Natural_Language_Processing_(NLP)_usecase.md) +- [Online_Gaming_usecase.md](Online_Gaming_usecase.md) +- [Personalized_Marketing_usecase.md](Personalized_Marketing_usecase.md) +- [Predictive_Analytics_usecase.md](Predictive_Analytics_usecase.md) +- [Predictive_Maintenance_usecase.md](Predictive_Maintenance_usecase.md) +- [Recommendation_Systems_usecase.md](Recommendation_Systems_usecase.md) +- [Retail_Inventory_Management_usecase.md](Retail_Inventory_Management_usecase.md) +- [Robotics_in_Manufacturing_usecase.md](Robotics_in_Manufacturing_usecase.md) +- [Search_Engine_Optimization_(SEO)_usecase.md](Search_Engine_Optimization_(SEO)_usecase.md) +- [Seismic_Interpretation_usecase.md](Seismic_Interpretation_usecase.md) +- [Self-Driving_Cars_usecase.md](Self-Driving_Cars_usecase.md) +- [Sentiment_Analysis_usecase.md](Sentiment_Analysis_usecase.md) +- [Simulation_and_Modeling_usecase.md](Simulation_and_Modeling_usecase.md) +- [Smart_Agriculture_usecase.md](Smart_Agriculture_usecase.md) +- [Smart_Grids_usecase.md](Smart_Grids_usecase.md) +- [Smart_Home_Devices_usecase.md](Smart_Home_Devices_usecase.md) +- [Social_Media_Monitoring_usecase.md](Social_Media_Monitoring_usecase.md) +- [Speech_Recognition_usecase.md](Speech_Recognition_usecase.md) +- [Supply_Chain_Optimization_usecase.md](Supply_Chain_Optimization_usecase.md) +- [Telemedicine_usecase.md](Telemedicine_usecase.md) +- [Traffic_Management_usecase.md](Traffic_Management_usecase.md) +- [Virtual_Reality_(VR)_usecase.md](Virtual_Reality_(VR)_usecase.md) +- [Voice-Activated_Assistants_usecase.md](Voice-Activated_Assistants_usecase.md) +- [Waste_Management_usecase.md](Waste_Management_usecase.md) +- [Weather_Forecasting_usecase.md](Weather_Forecasting_usecase.md) From a222f076e5d6951ce0d8b6ba44345577931d1c70 Mon Sep 17 00:00:00 2001 From: Omar Santos Date: Mon, 4 Sep 2023 23:45:37 -0400 Subject: [PATCH 2/2] Create ml_ai_datasets.md --- ai_security/ML_Fundamentals/ml_ai_datasets.md | 62 +++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 ai_security/ML_Fundamentals/ml_ai_datasets.md diff --git a/ai_security/ML_Fundamentals/ml_ai_datasets.md b/ai_security/ML_Fundamentals/ml_ai_datasets.md new file mode 100644 index 0000000..1451665 --- /dev/null +++ b/ai_security/ML_Fundamentals/ml_ai_datasets.md @@ -0,0 +1,62 @@ +# Datasets for AI / ML Research + +1. **UCI Machine Learning Repository**: A collection of databases, domain theories, and data generators widely used by the machine learning community. + Website: [UCI ML Repository](https://archive.ics.uci.edu/ml/index.php) + +2. **Kaggle Datasets**: Offers a wide variety of datasets in different domains including economics, biology, computer vision, and natural language processing. + Website: [Kaggle](https://www.kaggle.com/datasets) + +3. **AWS Public Datasets**: Amazon Web Services offers a variety of public datasets that anyone can access. + Website: [AWS Public Datasets](https://registry.opendata.aws/) + +4. **Google Dataset Search**: A tool that enables the discovery of datasets stored across the web. + Website: [Google Dataset Search](https://datasetsearch.research.google.com/) + +5. **Microsoft Research Open Data**: A collection of free datasets from Microsoft Research to advance state-of-the-art research in areas such as natural language processing, computer vision, and domain-specific sciences. + Website: [Microsoft Research Open Data](https://msropendata.com/) + +6. **OpenML**: An online platform for collaborative machine learning - easily share data, models, and experiments. + Website: [OpenML](https://www.openml.org/) + +7. **Data.gov**: The home of the U.S. Government’s open data, providing data, tools, and resources. + Website: [Data.gov](https://www.data.gov/) + +8. **EU Open Data Portal**: Provides access to an expanding range of data from the European Union institutions and other EU bodies. + Website: [EU Open Data Portal](https://data.europa.eu/euodp/en/home) + +9. **Awesome Public Datasets on GitHub**: A collection of high-quality open datasets in public domains. + GitHub Repository: [Awesome Public Datasets](https://github.com/awesomedata/awesome-public-datasets) + +10. **World Bank Open Data**: Free and open access to global development data. + Website: [World Bank Open Data](https://data.worldbank.org/) + +11. **CERN Open Data Portal**: Provides access to data generated by the Large Hadron Collider and other CERN experiments. + Website: [CERN Open Data Portal](http://opendata.cern.ch/) + +12. **National Aeronautics and Space Administration (NASA)**: Offers a wide range of datasets related to space and Earth sciences. + Website: [NASA](https://data.nasa.gov/) + +13. **NOAA Data Sets**: Provides access to national and global data on climate, weather, oceans, and coasts. + Website: [NOAA](https://www.noaa.gov/data) + +14. **ImageNet**: A dataset of over 15 million labeled high-resolution images across 22,000 categories. + Website: [ImageNet](http://www.image-net.org/) + +15. **COCO (Common Objects in Context)**: A dataset with millions of images containing objects in complex scenes with annotations. + Website: [COCO Dataset](https://cocodataset.org/) + +16. **Wikipedia: List of datasets for machine-learning research**: A wikipedia article providing a comprehensive list of datasets for machine-learning research. Website: [Wikipedia List](https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research) + +17. **Natural Earth Data**: Offers free vector and raster map data at various scales. + Website: [Natural Earth Data](https://www.naturalearthdata.com/) + +18. **Reddit Datasets**: A subreddit that has datasets made available by the Reddit community. + Website: [Reddit Datasets](https://www.reddit.com/r/datasets/) + +19. **Quandl**: Provides financial, economic, and alternative datasets. + Website: [Quandl](https://www.quandl.com/) + +20. **Stanford Large Network Dataset Collection**: A collection of large network datasets including social networks, web graphs, etc. + Website: [Stanford Network Analysis Project](http://snap.stanford.edu/data/index.html) + +These sources offer a wide range of datasets from various domains, and you can explore them based on your specific requirements and interests in machine learning.