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 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

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

CIO Business Intelligence

APRIL 15, 2022

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

JULY 20, 2023

There is a risk if we don’t clarify machine learning, deep learning, and generative AI – plus when you would use one versus the other.” Chet successfully took Apigee public before the company was acquired by Google in 2016. Artificial Intelligence, Machine Learning Chet earned his B.S.

Risk 40

Risk Machine Learning Deep Learning Interactive 40

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend.

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. An ML-related topic, “models,” was No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Smart Data Collective

MAY 18, 2021

Kerry, who also signed the Paris Climate Accord on behalf of the US in 2016, has also spoken at length about how big banks and financial institutions are continuing to invest heavily in green business. Tesla has used deep learning and big data technology from the very beginning. How is AI used by Tesla?

Marketing 73

Marketing Big Data Deep Learning Machine Learning 73