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All Blog Posts Tagged 'image' (8)

Boosting Trading Models with Sagemaker and Essentia

Building accurate models takes a great deal of time, resources, and technical ability. The biggest challenge? You almost never know what model or feature combination will end…

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Added by Benjamin Waxer on July 25, 2019 at 4:12am — No Comments

Faster Better Cheaper Image Recognition

Summary:  In the literal blink of an eye, image-based AI has gone from high cost, high risk projects to quick and reasonably reliable.  C-level execs looking for AI techniques to exploit need to revisit their assumptions and move these up the list.  Here’s what’s changed.

 

For data scientists these are miraculous times.  We tend to think of miracles as something that occurs instantaneously but in our world that’s not quite so.  Still the rate…

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Added by William Vorhies on March 4, 2019 at 9:41am — No Comments

Machine Learning with C++ - Mask R-CNN with PyTorch C++ Frontend

I made C++ implementation of Mask R-CNN with PyTorch C++ frontend. The code is based on PyTorch implementations from multimodallearning and Keras implementation from …

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Added by Kyrylo Kolodiazhnyi on January 21, 2019 at 7:44am — No Comments

Using Convolutional Neural Networks to detect features in sattelite images

In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet-16) from scratch and training them on the MNIST, CIFAR-10 and Oxflower17 datasets.

It starts to get interesting when you start thinking about the practical applications of CNN and other Deep Learning methods.  If you have been following the latest technical developments you probably know that CNN’s are…

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Added by Ahmet Taspinar on December 4, 2017 at 5:00am — No Comments

Data or Algorithms – Which is More Important?

Summary:  Which is more important, the data or the algorithms?  This chicken and egg question led me to realize that it’s the data, and specifically the way we store and process the data that has dominated data science over the last 10 years.  And it all leads back to Hadoop.

 

Recently I was challenged to speak on the role of data in data…

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Added by William Vorhies on November 28, 2017 at 10:36am — 1 Comment

Ux + AI = Cognitive Ergonomics

Summary:  The addition of AI capabilities to our personal devices, applications, and even self-driving cars has caused us to take a much deeper look at what we call ‘User Experience’ (Ux).  A more analytical framework identified as Cognitive Ergonomics is becoming an important field for data scientists to understand and implement.

 

I…

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Added by William Vorhies on October 31, 2017 at 9:51am — No Comments

The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

Why Machine Learning Doesn’t Work Well for Some Problems?

Shahab Sheikh-Bahaei, Ph.D.*

Principal Data Scientist

Intertrust Technologies.

Introduction

Machine Learning (ML) is closely related to computational statistics which focuses on prediction-making through the use of computers. ML is a modern approach to an old problem:  predictive inference. It makes an inference from “feature” space to “outcome/target” space.…

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Added by Shahab Sheikh-Bahaei on July 6, 2017 at 4:30pm — No Comments

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