Data Science

A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types...
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based...

Meet PyGraft: An Open-Sourced Python-Based AI Tool that Generates Highly Customized, Domain-Agnostic Schemas and Knowledge Graphs

An increasingly popular method for representing data in a graph structure is the usage of knowledge graphs (KGs). A KG is a group of...

Top AI Tools for Data Analysts 2023

Julius AI Unlock the full potential of your data with Julius AI, an advanced yet user-friendly data analyst tool. Designed for accessibility, Julius AI is...

Role of Data Contracts in Data Pipeline

What are Data Contracts? A data contract is an agreement or set of rules defining how data should be structured and processed within a system....

15 Artificial Intelligence (AI) And Machine Learning-Related Subreddit Communities in 2023

In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Reddit, the...

Microsoft AI Research Open-Sources ONNX Script Library for Directly Authoring ONNX Models in Python

In the ever-evolving landscape of machine learning, ONNX (Open Neural Network Exchange) models have emerged as a pivotal technology, offering a standardized and flexible...

70% of Developers Embrace AI Today: Delving into the Rise of Large Language Models, LangChain, and Vector Databases in Current Tech Landscape

Artificial Intelligence has limitless possibilities, which is truly evident from the new releases and developments it introduces everyone to. With the release of the...

World Bank Researchers Open Source REaLTabFormer: A Tabular and Relational Synthetic Data Generation Model

The most prevalent type of data is tabular data. This form contains many datasets from surveys, censuses, and administrative sources. These datasets could include...

Best Practices for Data Visualization (2023)

The process of converting data into understandable pictures is known as data visualization. The visual depiction of numerical data using different graphs, charts, and...

Researchers from Meta AI released ‘balance,’ a Python Package for Balancing Biased Data Samples

Artificial intelligence and machine learning are now essential components in various tasks that contribute to a company's growth, such as marketing, thanks largely to...

DynamicViz: A Framework for Generating Dynamic Visualizations of High-Dimensional Data Using Dimensionality Reduction Techniques

Dimensionality reduction (DR) is a method for analyzing high-dimensional data that involves minimizing the number of variables taken into account. Data visualization in two...

RISELab Team At UC Berkeley Open Sources Skypilot: A Novel Framework That Targets Cloud Cost Optimization for Machine Learning and Data Science

The two of the biggest problems for both large and small enterprises are analysis and storage. To begin, the rate at which Big Data...

Understanding Data De-Identification and Its Applications

Data de-identification, a subset of dynamic data masking, disassociates data from the original person to whom it was tied. Data de-identification makes it possible...

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