CIO
AUGUST 11, 2023
Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. An NLP algorithm uses this data to find patterns and extrapolate what comes next.
CIO
JULY 18, 2023
Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Nvidia gets two bites at this market. The other is the cars themselves.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
mention
SEPTEMBER 22, 2022
There was a time when someone heard the term artificial intelligence they associated it with science fiction franchises like Terminator or The Matrix. But the artificial intelligence we’re dealing with on a daily basis isn’t composed of killer robots. But AI is no longer science fiction. In 2022, it has become a science fact.
Smart Data Collective
NOVEMBER 1, 2020
Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. The unsupervised ML algorithms are used to: Find groups or clusters; Perform density estimation; Reduce dimensionality.
IT Business Edge
JUNE 20, 2022
Jump to: Machine Learning 101 Python Libraries and Tools Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset. Machine learning (ML) is a form of artificial intelligence (AI) that teaches computers to make predictions and recommendations and solve problems based on data. Machine Learning 101. Model training.
Contify
SEPTEMBER 21, 2017
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.
Contify
SEPTEMBER 21, 2017
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.
Expert insights. Personalized for you.
889 
Let's personalize your content