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April 13, 2023

What is Generative AI according to Generative AI?

Generative AI products can create new content similar to what humans produce. What does it mean? It can generate text, images, videos, or even music resembling what a person might create. Generative AI is a specific area of Artificial...

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What is Generative AI according to Generative AI?

YData Profiling: The debut of Pandas Profiling in the Big Data world

Not a month has passed since the celebration of Pandas Profiling as the top-tier open-source package for data profiling and YData’s development team is already back with astonishing fresh news. The most popular data profiling package on...

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Top 5 trends in AI for 2023

Artificial intelligence (AI) is a fast-moving field showing no signs of slowing down in 2023. As new technologies emerge daily, it is crucial to analyze and be aware of the latest trends as they will influence the tools available to most...

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How To Compare 2 Datasets With Pandas-profiling

Advanced Data Visualisation with Pandas Profiling Visualisation is the cornerstone of EDA. When facing a new, unknown dataset, visual inspection allows us to get a feel of the available information, draw some patterns regarding the data,...

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The impact of Artificial Intelligence on Financial Inclusion

How AI assists banks and financial institutions in enhancing financial inclusivity The advancement of technology has paved the way for banks and financial institutions to reach out to all corners of the Earth. However, according to the...

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YData in Gartner’s Emerging Tech Impact Radar: Artificial Intelligence

YData was highlighted in the recent report “Emerging Tech Impact Radar: Artificial Intelligence” by Gartner. The world-renowned technology consulting company named YData as a key vendor with a platform that can generate synthetic data to...

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How to Do an EDA for Time-Series

Pandas-profiling time-series exploratory analysis   Photo by Aron Visuals on Unsplash One of the early steps in the data science development cycle is to understand and explore the data for the problem you’re solving. EDA is a crucial step...

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What to expect from the Data-Centric AI Summit

Data-Centric AI is here to stay, and experts will tell you why. If you are working in the AI / ML industry in 2022, there is no way you have not heard about the Data-Centric AI idea: introduced recently by Andrew Ng, this approach implies...

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How to Leverage Data Profiling for Synthetic Data Quality

Leverage EDA to beat GANs challenges   Machine Learning has mainly evolved as a model-centric practice where achieving quality results is left pending small data processing efforts and instead concentrated on experimenting with families of...

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Advanced EDA Made Simple Using Pandas Profiling

Digging beyond the standard data profiling     Pandas Profiling was always my goto-secret tool to understand the data and uncover meaningful insights, in a few minutes, under a few lines of code. Whenever I was given a new dataset, I would...

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GANs for Synthetic Data Generation

A practical guide to generating synthetic data using open-sourced GAN implementations The advancements in technology have paved the way for generating millions of gigabytes of real-world data in a single minute, which would be great for...

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Why adopting the Data-Centric paradigm of AI development?

Data-centric AI and the reshape of the tooling space The end-to-end development of Data Science solutions can be broadly described as the process of analysis, planning, development and operationalization of a business problem that can be...

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How to handle a real dataset

A guide to go a step beyond with your data   Photo by Franki Chamaki on Unsplash Lately, there has been a lot of discussion about data quality and its impacts on model performance. Mainly due to this presentation which highlighted this...

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