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How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models

Analytics Vidhya

Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. The post How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.

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12 data science certifications that will pay off

CIO Business Intelligence

It covers programming skills; managing and improving data; transforming, accessing, and manipulating data; and how to work with popular data visualization tools. The exam tests your knowledge of and ability to integrate machine learning into various tools and applications.

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Lean AI: Powering Intelligent Automation – The third wave of operational efficiency?

bridgei2i

The Lean AI wave can be imagined as a 4 step process: AI use case discovery: Identify the current processes amenable to data and AI driven improvement, design the solution roadmap and proactively think through the potential failure modes of enterprise adoption.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics?

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

This introduces further requirements: The scale of operations is often two orders of magnitude larger than in the earlier data-centric environments. Not only is data larger, but models—deep learning models in particular—are much larger than before. Model Development.

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Adding AI to Products: A High-Level Guide for Product Managers

Sisense

What data transformations are needed from your data scientists to prepare the data? Today, we’re developing AI in an era where data is treated as code, or at least as an extension of code, because the code alone cannot achieve deep learning without the data. What will it take to build your MVP?

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. However, there will always be a decisive human factor, at least for a few decades yet.