Mirrors/h4cker
2
0
Fork 0
mirror of https://github.com/The-Art-of-Hacking/h4cker synced 2024-11-21 18:33:03 +00:00
Code Issues Projects Releases Packages Wiki Activity

Merge branch 'master' of https://github.com/The-Art-of-Hacking/h4cker

Browse source
This commit is contained in:
Omar Santos 2023-09-04 23:49:41 -04:00
commit 71b43ad261
2 changed files with 114 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

52
ai_research/ML_Fundamentals/ai_generated/data/use_cases/README.md Normal file
View file

@ -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)

62
ai_research/ML_Fundamentals/ml_ai_datasets.md Normal file
View file

@ -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.