Data Sets

In this Folium tutorial, we build a complete set of interactive maps that run in Colab or any local Python setup. We explore multiple...

Challenges of LLMs in Medical Decision-Making: Addressing Hallucinations via Knowledge Retrieval LLMs are set to revolutionize healthcare through intelligent decision support and adaptable chat-based assistants....

Astronomical research has transformed dramatically, evolving from limited observational capabilities to sophisticated data collection systems that capture cosmic phenomena with unprecedented precision. Modern telescopes...

The development of machine learning (ML) models for scientific applications has long been hindered by the lack of suitable datasets that capture the complexity...

Instruction-tuned large language models (LLMs) have redefined natural language processing (NLP), offering significant improvements in generating coherent, context-aware responses. However, a pressing challenge persists—access...

Language models have made significant strides in mathematical reasoning, with synthetic data playing a crucial role in their development. However, the field faces significant...

Retrieval-augmented generation (RAG) has been a transformative approach in natural language processing, combining retrieval mechanisms with generative models to enhance factual accuracy and reasoning...

Governments and humanitarian organizations need reliable data on building and infrastructure changes over time to manage urbanization, allocate resources, and respond to crises. However,...

LAION, a prominent non-profit organization dedicated to advancing machine learning research by developing open and transparent datasets, has recently released Re-LAION 5B. This updated...

The growth of low-quality data on the internet leads to the instillation of undesirable, unsafe, or toxic knowledge in large language models (LLMs). When...

Rightsify's Global Copyright Exchange (GCX) offers vast collections of copyright-cleared music datasets tailored for machine learning and generative AI music initiatives.  These datasets encompass...

The first extensive text-to-image prompt dataset is called DiffusionDB. It has 2 million Stable Diffusion-generated photos that were produced using prompts and hyperparameters provided...

Deep learning is used in many recent developments in computer vision and robotics; however, training deep learning models takes a lot of data to...

Stanford is looking to democratize research on artificial intelligence and medicine by releasing the world's largest free repository of AI-ready annotated medical imaging datasets....

Recently, Facebook released the Image Similarity data set and announced an associated competition hosted by DrivenData with a whopping $200,000 prize pool. The competition began on...

Here is a list of COVID-19 tools and public datasets which could be really helpful in understanding the disease (COVID-19) and performing data driven...

DeepFakes are AI-synthesized face-swapping videos which have currently become an emerging problem. A lot of AI labs and researchers are working on algorithms to...

Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019 Paper with Code Facebook’s Detectron Training a Model on the...

We have listed below some of the best datasets/ projects for data science beginners. 1. Enron Emails:  2. The United States Census Data:  3. Walmart:  5. CDC Cause...

Here is the list of Facebook groups to join for Big Data/ Data Science International Data Science Study GroupData Science WorldArtificial Intelligence | Data Science...

Here is a list of some of the important machine learning APIs for you to use. PREDICTION BASED MLJAR  Anaconda  Blue Yonder Platform M NuPIC  Recombee  BigML **** indico  PredictionIO **** FACE DETECTION/ RECOGNITION Betaface  Kairos API Animetrics Face...

As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into three slices, Training,...

First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For BeginnersImage Segmentation...

Gradient descent is the most popular optimization algorithm, used in machine learning and deep learning. Gradient descent is iterative optimization algorithm for finding the...

We have listed below some of the best datasets/ projects for machine learning beginners. 1. Breast Cancer Wisconsin (Diagnostic) Data Set Download Link: Click here  2. Social Media Sentiment...

From C++ to C-- we have more than 250 programming languages but which one is best suited for machine learning? There’s plenty of articles...

The nature of business tools are changing, and it's all thanks to neural network technology. AI neural networks are designed after the human brain,...

In the tutorial, we learn how to built ANN using Sklearn python library. For this example, we classify input data as an array of...

An Application of Generative Adversarial Networks (GAN) If you are planning to start your own religion the first thigh you would need is a holy...

Here is the List of Machine Learning Data Resources Data.gov Food Environment Atlas School system finances Chronic disease data The US National Center for Education...