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All Blog Posts Tagged 'Abstract' (9)

Deep Learning Reinvents the Hearing Aid

This article was written by DeLiang Wang.

My mother began to lose her hearing while I was away at college. I would return home to share what I’d learned, and she would lean in to hear. Soon it became difficult for her to hold a…

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Added by Andrea Manero-Bastin on January 28, 2021 at 7:00am — No Comments

Clustering with Scikit with GIFs

This article was written by David Sheehan.

This post describes (with GIFs and words) the most common clustering algorithms available through Scikit-learn.

It’s a common task for a data scientist: you need to generate segments (or clusters- I’ll use the terms interchangably) of the customer base. Where does one start? With definitions, of…

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Added by Andrea Manero-Bastin on January 15, 2021 at 12:05pm — No Comments

FairML: Auditing Black-Box Predictive Models

This article was written on the blog CLOUDERA Fast Forward.

Machine learning models are used for important decisions like determining who has access to bail. The aim is to increase efficiency and spot patterns in data that humans would otherwise miss. But how do we know if a machine learning model is fair? And what does fairness in machine learning…

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Added by Andrea Manero-Bastin on January 15, 2021 at 11:53am — No Comments

Google is Rethinking its Business – What About You?

This article was written by Damian Mingle.

Google recently started promoting automated machine learning (what they call AutoML) – something that DataRobot customers have been doing for years. So what is driving Google to now embrace this transformative approach? Guest blogger Damian Mingle explains. …

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Added by Andrea Manero-Bastin on January 15, 2021 at 11:35am — No Comments

Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

This article was written by Sanjib Sharma.

Markov Chain Monte Carlo based Bayesian data analysis has now become the method of choice for analyzing and interpreting data in almost all disciplines of science. In astronomy, over the last decade, we have also seen a steady increase in the number of papers that employ Monte Carlo…

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Added by Andrea Manero-Bastin on January 6, 2021 at 11:50am — No Comments

Object detection with neural networks — a simple tutorial using keras

This article was written by Johannes Rieke.

Abstract

A very lightweight tutorial to object detection in images. We will bootstrap simple images and apply increasingly complex neural networks to them. In the end, the algorithm will be able to detect multiple…

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Added by Andrea Manero-Bastin on December 24, 2020 at 12:28pm — No Comments

Image-to-Image Translation with Conditional Adversarial Networks

This article was written by Berkeley AI Research (BAIR) Laboratory.

Abstract 

We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but…

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Added by Andrea Manero-Bastin on December 24, 2020 at 12:16pm — No Comments

Cybersecurity’s Next Frontier: 80+ Companies Using Artificial Intelligence To Secure The Future In One Infographic

This article was written on CBINSIGHTS.

We used CB Insights to identify over 80 private cybersecurity AI companies and categorized them into 9 areas of operation.

Cybersecurity companies saw a record number of funding deals last year and on a quarterly basis Q1’17 was the most active quarter for deals to private cybersecurity companies over the last five years.…

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Added by Andrea Manero-Bastin on December 13, 2020 at 11:55am — No Comments

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