IBM Big Data Hub

MAY 17, 2024

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. AI models analyze vast amounts of data quickly and accurately. This content includes product descriptions, images, videos and even interactive experiences.

B2B 71

B2B Interactive Optimization Forecasting 71

bridgei2i

DECEMBER 15, 2021

With significant adoption among industries as well as personal lives, AI is impacting enterprise transformation at scale, whilst changing the way humans interact with machines. Imperative to predicting user preferences or interests and suggestions, the recommendation engine market size is projected to reach $12.03 billion by 2025.[1]

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

O'Reilly on Data

JUNE 18, 2019

For example, a complex sophisticated model for finding duplicates or matching schema is the least of our worries if we cannot even enumerate all possible pairs that need to be checked. Data programming. An important paradigm for solving both these problems is the concept of data programming.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. Computer Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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. Let’s get started. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

APRIL 19, 2024

Benefits include customized and optimized models, data, parameters and tuning. This approach does demand skills, data curation, and significant funding, but it will serve the market for third-party, specialized models. This technology can be a valuable tool to automate functions and to generate ideas.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111