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All Blog Posts Tagged 'dsc_ml' (245)

Reinforcement Learning to Reduce Building Energy Consumption

Heating, ventilation, and air conditioning of buildings accounts alone for nearly 40% of the global energy demand [1].

The need for …

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Added by Enrico Busto on December 1, 2019 at 10:30pm — No Comments

We See in 3D – So Should Our CNN Models

Summary:  Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off when image classification moves from 2D to 3D.  Here we examine the two leading approaches to 3D classification, Point Clouds and Voxel Grids.

 

One of the well-known…

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Added by William Vorhies on September 23, 2019 at 2:24pm — No Comments

Top 10 Data Science Use Cases in Energy and Utilities

The energy sector is under constant development, and more of significant inventions and innovations are yet to come. The energy use has always been involved in other industries like agriculture, manufacturing, transportation, and many others. Thus these industries tend to enlarge…

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Added by Igor Bobriakov on July 4, 2019 at 10:00pm — 2 Comments

Why Cognitive Systems should combine Machine Learning with Semantic Technologies

Will Artificial Intelligence make subject matter experts obsolete?

Imagine you want to build an application that helps to identify wine and cheese pairings. Who will perform best? Applications solely based on machine learning, those ones which are based on experts' knowledge only, or a combination of both?

Most of the machine learning algorithms were…

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Added by Andreas Blumauer on August 28, 2017 at 3:00am — 1 Comment

Price Optimisation Using Decision Tree (Regression Tree) - Machine Learning

INTRODUCTION TO THE RESEARCH QUESTION

The research was conducted to find out what price  maximises profit without sacrificing the high demand for the product due to the price being too high nor sacrificing the margins on the product due to the price being too low. 

The goal…

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Added by Bernard Antwi Adabankah on October 29, 2016 at 10:30pm — 3 Comments

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