Cloudera

JULY 27, 2021

Ines Montani of Explosion wrote How front-end development can improve data science in 2016, and, five years later, those words still ring true. There are many uses for interactive applications in the machine learning development lifecycle. Not every project requires a fully custom web app.

Data Science 119

Data Science Enterprise Experimentation Machine Learning 119

CIO Business Intelligence

OCTOBER 4, 2023

From 2016 to 2022, the company went from processing a payments volume of $354 billion to $1.36 The fourth is called the merchant, consumer, and developer experience layer, which includes the web interface, mobile applications, and APIs that allow customers to use PayPal’s service interactively and programmatically. trillion last year.

Digital Transformation 124

Digital Transformation Deep Learning Data Lake Risk 124

CIO Business Intelligence

JANUARY 23, 2023

The company has been a supporter of OpenAI’s quest to build an artificial general intelligence since its early days, beginning with its hosting of OpenAI experiments on specialized Azure servers in 2016. And, of course, they can check out ChatGPT, the interactive text generator that has been making waves since its release in November 2022.

Enterprise 130

Enterprise Deep Learning Recreation/Entertainment Interactive 130

Occam's Razor

MARCH 30, 2017

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. trillion pictures in 2016. Deep Learning is a specific ML technique. No more theory, we felt it! Google Photos.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Cloudera

NOVEMBER 15, 2021

Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 It is estimated that about 82% of the total IP traffic is video, up from 73% in 2016. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. And data moves around.

Unstructured Data 93

Unstructured Data Recreation/Entertainment Structured Data Reporting 93

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

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. The drawback of GAMs is that they do not allow feature interactions.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108