The Development of an Aquatic Habitat Classification System for Lakes


The Development of an Aquatic Habitat Classification System for Lakes

The Development of an Aquatic Habitat Classification System for Lakes by W. D. N. Busch
English | 2017 | ISBN: 1315898047 | 238 Pages | PDF | 60.7 MB
In the context of freshwater fisheries changing their strategies from the regulation of harvest and the enhancement of populations, to the creation and protection of habitats and the management of ecosystems, moves toward establishing an aquatic habitat classification system.

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Artificial Intelligence #3:kNN & Bayes Classification method

Artificial Intelligence #3:kNN & Bayes Classification method
Artificial Intelligence #3:kNN & Bayes Classification method
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 20 | 200 MB
Genre: eLearning | Language: English

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Classification with Support Vector Machines

Classification with Support Vector Machines
Classification with Support Vector Machines
MP4 | Video: AVC 1920x1080 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 246 MB
Genre: eLearning | Language: English

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Machine Learning and AI Foundations: Classification Modeling

Machine Learning and AI Foundations: Classification Modeling
Machine Learning and AI Foundations: Classification Modeling
MP4 | Video: 720p | Duration: 2:00:59 | English | Subtitles: VTT | 250.0 MB
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Demand-Driven Associative Classification

Demand-Driven Associative Classification

Demand-Driven Associative Classification By Adriano Veloso
English | PDF | 2011 | 114 Pages | ISBN : 0857295241 | 4.67 MB
The ultimate goal of machines is to help humans to solve problems.
Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods.
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Image Analysis and Text Classification using CNNs in PyTorch

Image Analysis and Text Classification using CNNs in PyTorch
Image Analysis and Text Classification using CNNs in PyTorch
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz, 1 Ch | Duration: 55 Minutes | 1.28 GB
Genre: eLearning | Language: English

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Information Classification

Information Classification
Information Classification
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 128 MB
Genre: eLearning | Language: English



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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic


New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic By Jonathan Amezcua
English | PDF,EPUB | 2018 | 78 Pages | ISBN : 3319737724 | 3.75 MB
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems.

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Unsupervised Learning for Exploration and Classification of Health Data

Unsupervised Learning for Exploration and Classification of Health Data
Unsupervised Learning for Exploration and Classification of Health Data
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1 Hour 46M | 4.79 GB
Genre: eLearning | Language: English


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Classification with Spark ML


Classification with Spark ML

Classification with Spark ML
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 468 MB
Genre: eLearning | Language: English

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