Data Science

Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation, with generative adversarial networks (GANs) emerging as a promising solution. Techniques like GAN...
The scaling rule of language models has produced success like never before. These huge language models have gotten novel emerging capabilities in addition to demonstrating tremendous superiority over earlier paradigms for many disciplines when trained on...

Top AI Tools for Data Analysts 2023

Tableau As an interactive analytics and data visualization platform, Tableau can be used by someone unfamiliar with programming as one of its main selling features....

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...

Top C++ Based Data Science And Machine Learning Libraries

Dynamic load balancing, adaptive caching, and the creation of comprehensive big data frameworks and libraries are all best done in C++. The vast majority...

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