Domino Data Lab

FEBRUARY 19, 2021

spaCy is a python library that provides capabilities to conduct advanced natural language processing analysis and build models that can underpin document analysis, chatbot capabilities, and all other forms of text analysis. The latest release, spaCy 3.0, That blog can be found here. import spacy.

Enterprise 119

Enterprise Data Science Modeling Visualization 119

Sisense

APRIL 10, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. R or Python?”. Python: Versatile workhorse.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

CDW Research Hub

JULY 31, 2019

While we’re still in the early days of the design and development of intelligent conversational AI, Google quite rightly announced that we were moving from a mobile-first to an AI- first world, where we expect technology to be naturally conversational, thoughtfully contextual, and evolutionarily competent. NLU is able to do two things?—?intent

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Insight

MAY 7, 2019

It’s a popular project topic among Insight Fellows, however a lot of time is spent collecting labeled datasets, cleaning data, and deciding which classification method to use. I wanted to make transfer learning easy to use for text classification. fastText, word embedding, and language models?—?in Language models ?—?Language

Modeling 75

Modeling Testing Machine Learning Interactive 75

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

Cloudera

OCTOBER 26, 2022

These AMPs help kickstart projects in machine learning by providing working examples of how to solve common data science use cases, enabling data scientists to move faster and focus more time on driving further innovation. . Structural Time Series : Use an interpretable approach to forecasting electricity demand data for California.

Machine Learning 76

Machine Learning Deep Learning Cost-Benefit Forecasting 76