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What is NLP? Natural language processing explained

CIO

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next.

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How Nvidia became a trillion-dollar company

CIO

Along the way, other uses for the parallel-processing capabilities of Nvidia’s graphical processing units (GPUs) emerged, solving problems with a similar matrix arithmetic structure to 3D-graphics modelling. One is building and running the virtual worlds in which self-driving algorithms are tested without putting anyone at risk.

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. Overall, unsupervised algorithms get to the point of unspecified data bits.

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Assisted Product Matching For eCommerce Companies using Python

Data Hut

Nobody has ever built product-matching algorithms that Completely automated product-matching. Sifting through such vast data to find matches requires advanced algorithms and significant computational resources. For instance, humans can better understand subtle differences in product descriptions that might confuse an algorithm.

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How Innovative Companies Are Using Artificial Intelligence (AI) to Gain An Edge In Business

mention

There was a time when someone heard the term artificial intelligence they associated it with science fiction franchises like Terminator or The Matrix. It uses a series of algorithms and statistical models to analyze data and, in turn, learn from it to adapt. But AI is no longer science fiction. In 2022, it has become a science fact.

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Python for Machine Learning: A Tutorial

IT Business Edge

Jump to: Machine Learning 101 Python Libraries and Tools Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset. You can use many different algorithms for machine learning. The choice of algorithm will depend on the problem you are trying to solve and the available data. Machine Learning 101.

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Machine Learning Problems: The Easy Parts

Contify

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. just rephrased. It’s a constant learning process.