Remove Algorithm Remove Analysis Remove Intelligence Remove Matrix
article thumbnail

What is NLP? Natural language processing explained

CIO

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. This Amazon service doesn’t require ML experience.

Algorithm 889
article thumbnail

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. 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.

Learning 335
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. 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.

article thumbnail

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.

article thumbnail

Handling Outliers Using Smarten Assisted Predictive Modelling!

Elegant BI

Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. Dealing with Outliers: A secret ingredient for success of data analysis. Any kind of analysis initiates by looking upon the data. Outlier, an Outsider!

article thumbnail

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.

article thumbnail

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.