Insight

NOVEMBER 5, 2019

Can we ever hope to appreciate the interactions between hundreds or thousands of factors that shape outcomes for a single patient? 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. What if their interplay is not merely additive?

Deep Learning 61

Deep Learning Modeling Insurance Metrics 61

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 eye-opening learning for me came from the Google Research team’s post on Learning from Large-Scale Interaction.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

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

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 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

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. and sometimes difficult?—?topics

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

Domino Data Lab

JULY 9, 2019

Here is a picture of The New York Times on its birthday in 1851, and for the vast majority of its lifespan this is pretty much what the user experience of interacting with The New York Times looks like. However, in 2014, 2015 the editors were falling in love with Slack. Editors can interact with this bot. We crowdsourced it.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

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). In the first convolutional layer of LeNet-5, the 5x5 kernel has 25 weights associated with it.

Visualization 72

Visualization Modeling Machine Learning IT 72