CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

IBM Big Data Hub

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Generative AI is a type of deep-learning model that takes raw data, processes it and “learns” to generate probable outputs.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

DataRobot

MAY 13, 2021

In 2015 he joined Branded Entertainment Network (BEN), where he is now CEO (BEN took over Plaid). Using deep learning and neural networks, BEN can make sense of the billions of videos and images out there and predict where marketers can catch an emerging trend. But there is much more out there, Ricky Ray says.

Advertising 52

Advertising Recreation/Entertainment Deep Learning ROI 52

DMBS2

DECEMBER 12, 2017

Most of my comments about artificial intelligence in December, 2015 still hold true. As I wrote back then in a post about the connection between machine learning and the rest of AI , It is my opinion that most things called “intelligence” — natural and artificial alike — have a great deal to do with pattern recognition and response.

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

Insight

AUGUST 17, 2020

The Remote Experience While this was the first session for Insight in which all Fellows participated remotely, we’ve been offering a remote data science program since 2015. We’re happy to report that we successfully adapted what we’ve learned during that time to all 7 of our programs across all locations.

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

Cloudera

NOVEMBER 15, 2021

For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. The rate of data growth is reflected in the proliferation of storage centres. And data moves around. Data annotation.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

CIO Business Intelligence

DECEMBER 1, 2023

Laying the foundation for innovation None of this would have been possible without having migrated to the cloud, which LexisNexis began in 2015. But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications. But it was an uphill climb to get to the cloud.

Cost-Benefit 128

Cost-Benefit Digital Transformation Machine Learning Optimization 128

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. For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). The first related to pure deep learning and its amazingness, I was familiar with this one. Pretty damn fast. It truly is mind-blowing.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Insight

NOVEMBER 5, 2019

Collected over two years (2014 and 2015) from ICUs across the US, it contains an enormous amount of data about more than 200,000 patient-stays in the ICU. A Multimodal Deep Learning Model A flexible, multimodal architecture for predicting diagnoses or survival from ICU data. in the order in which they actually happened.

Deep Learning 61

Deep Learning Modeling Insurance Metrics 61

Insight

DECEMBER 30, 2019

LeNet-5: A classic CNN architecture Since LeNet-5, there have been many different CNN architectures developed over the years, such as AlexNet (2012), GoogLeNet (2014), VGGNet (2014), and ResNet (2015). Due to these minor atypicalities, our above calculation of the total number of weights is slightly off.

Visualization 72

Visualization Modeling Machine Learning IT 72

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. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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. .” We crowdsourced it.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

SEPTEMBER 9, 2019

The two principal authors for spaCy , Matthew Honnibal and Ines Montani, launched the project in 2015 and industry adoption was rapid. Since 2015, spaCy has consistently focused on being an open source project (i.e., deep learning on edge devices. Based on these priorities, spaCy became sort of the opposite of NLTK.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Occam's Razor

OCTOBER 12, 2017

There is one other video I want you to watch, from the 2015 edition. Intro to Machine Learning. Machine Learning. Deep Learning. If you can only watch one… 1. Science or Fiction? The content is great and it is pretty amazing to see these crazy brilliant group on one stage. Robotics, AI, and the Macro-Economy.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Smart Data Collective

MAY 19, 2021

Some of the most important benefits of big data include: Forecasting future demand with predictive analytics Using data analytics to better understand customer demographics Using deep learning technology to fine-tune business models to lower costs Use AI to conduct new permutations when testing new clean energy technology to bolster its efficiency.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89