datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Geet our bite-sized free summary and start building your data skills!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

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. Search engines, machine translation services, and voice assistants are all powered by the technology.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

IBM Big Data Hub

SEPTEMBER 6, 2023

Here are some key definitions, benefits, use cases and finally a step-by-step guide for integrating AI into your next marketing campaign. From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. What is AI marketing?

Marketing 87

Marketing Technology Advertising ROI 87

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Domino Data Lab

JULY 2, 2019

Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Here’s a sampler of related papers and articles if you’d like to dig in further: “ Synthesizing Programs with Deep Learning ” – Nishant Sinha (2017-03-25). “ Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

MARCH 30, 2022

The company next plans to explore new technologies, such as deep learning, Baumhof says. That’s definitely something on the radar, to see if they can beat the current models that we have.”. This new approach has been tested over the past year and will be rolled out into production in the second quarter of this year, he says.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144