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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. Google Cloud Translation.

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? Well, machine learning is almost the same.

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Python for Machine Learning: A Tutorial

IT Business Edge

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how it works with machine learning. In addition, you’ll get to know some of the most popular libraries and tools for machine learning.

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Assisted Product Matching For eCommerce Companies using Python

Data Hut

We hope you can learn from this blog, speed up the manual matching, and change how a product appears to save $$$. 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.

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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. Digest this information and assign custom tags, and.

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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. Digest this information and assign custom tags, and.

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Customer Churn Model Using Smarten Assisted Predictive Modelling!

Elegant BI

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely into how to open a loaded dataset in Smarten and make analysis. In order to select the best category of algorithm, users need to have some basic data literacy.