Cloudera

SEPTEMBER 20, 2022

A “comic book” in this context is a story told visually through a series of images, and optionally (though often) in conjunction with written language, e.g., in speech bubbles or as captions. Deep learning models are data hungry, and state-of-the-art systems like DALL·E 2 are trained with massive data sets of images scraped from the internet.

Deep Learning 90

Deep Learning Cost-Benefit Risk Data-driven 90

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. In addition to the model metrics discussed above for classification, DataRobot similarly provides fit metrics for regression models, and helps the modeler visualize the spread of model errors.

Risk 52

Risk Modeling Metrics Business Objectives 52

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. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

IBM Big Data Hub

OCTOBER 12, 2023

In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training. For example, Apple made Siri a feature of its iOS in 2011. This early version of Siri was trained to understand a set of highly specific statements and requests.

Machine Learning 68

Machine Learning Deep Learning Interactive Modeling 68

Domino Data Lab

APRIL 3, 2019

Fun fact: in 2011 Google bought remnants of what had previously been Motorola. We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. So much data is flowing through the other parts, but that’s not the concern of DG solutions.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

MARCH 3, 2019

O’Reilly Media had an earlier survey about deep learning tools which showed the top three frameworks to be TensorFlow (61% of all respondents), Keras (25%), and PyTorch (20%)—and note that Keras in this case is likely used as an abstraction layer atop TensorFlow. The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JULY 9, 2019

” And using deep learning we can even go beyond that and we can say, “Here’s how editor number 12 is probably going to re-balance it,” versus, “Here’s…” You can actually learn different editor styles if you have enough data set. And it works. We crowdsourced it.

Data Science 112

Data Science Machine Learning Advertising Modeling 112