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All Blog Posts Tagged 'classification' (12)

Image Recognition with Keras: Convolutional Neural Networks

Image recognition and classification is a rapidly growing field in the area of machine learning. In particular, object recognition is a key feature of image classification, and the commercial implications of this are vast.

For instance, image classifiers will increasingly be used to:

  • Replace passwords with facial recognition
  • Allow autonomous vehicles to detect obstructions
  • Identify geographical features from satellite imagery



These…

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Added by Michael Grogan on February 17, 2019 at 11:00am — No Comments

A guide for using the Wavelet Transform in Machine Learning

In a previous blog-post we have seen how we can use Signal Processing techniques for the classification of time-series and signals.

A very short summary of that post is: We can use the Fourier Transform to  transform a signal from its time-domain to its frequency domain. The peaks in the frequency spectrum indicate the most…

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Added by Ahmet Taspinar on December 20, 2018 at 9:30pm — No Comments

Machine Learning with C++ - Classification with Dlib

Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vision, linear algebra calculations and many other things. It has very good documentation and a lot of useful examples. In this post I will show how to use this library for solving a classification problem on Iris data…

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Added by Kyrylo Kolodiazhnyi on August 7, 2018 at 7:03am — No Comments

Machine Learning with C++ - Classification with Shark-ML

Shark-ML is an open-source machine learning library which offers a wide range of machine learning algorithms together with nice documentation, tutorials and samples. In this post I will show how to use this library for solving classification problem, with two different algorithms SVM and Random Forest. This post will tell you about how to use API for:

1. Loading data

2. Performing normalization and dimension…

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Added by Kyrylo Kolodiazhnyi on July 30, 2018 at 2:40am — No Comments

Machine Learning with C++ - Classification with Shogun library

Hello, with this article I'm starting series of articles about full featured C++ Machine Learning frameworks . This articles covers how to use Shogun library for solving classification problem. Shogun is an open-source machine learning library that offers a wide range of machine learning algorithms. From my point of view it's not very popular among professionals, but it have a lot of fans among enthusiasts and…

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Added by Kyrylo Kolodiazhnyi on July 17, 2018 at 11:17am — No Comments

From social media to public health surveillance: Word embedding based clustering method for twitter classification

Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent classification methods using social media in public health. These methods rely on bag-of-words (BOW) model and have difficulty grasping the semantic meaning of texts. Unlike these methods, we present a word embedding based clustering method. Word embedding is one of the strongest trends in Natural…

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Added by CD on January 4, 2018 at 10:30am — 1 Comment

Book: Text Analytics with Python

Text Analytics with Python -- A Practical Real-World Approach to Gaining Actionable Insights from your Data

Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" published by Apress\Springer, is a book packed with 385 pages of useful information based on techniques, algorithms,…

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Added by Dipanjan Sarkar on July 14, 2017 at 4:00am — No Comments

Classification with scikit-learn

For python programmers, scikit-learn is one of the best libraries to build Machine Learning applications with. It is ideal for beginners because it has a really simple interface, it is well documented with many examples and tutorials.

Besides supervised machine learning (classification and regression), it can also be used for clustering, dimensionality reduction, feature extraction and engineering,  and pre-processing the data. The interface is consistent over all of these methods, so…

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Added by Ahmet Taspinar on May 26, 2017 at 4:30am — 1 Comment

Feature Engineering with Tidyverse

In this blog post, I will discuss feature engineering using the Tidyverse collection of libraries. Feature engineering is crucial for a variety of reasons, and it requires some care to produce any useful outcome. In this post, I will consider a dataset that…

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Added by Burak Himmetoglu on April 10, 2017 at 7:30am — No Comments

Sentiment Analysis of Movie Reviews (1):Bag-of-Words Models

(This post originally appeared on recurrentnull.wordpress.com, as first part in a series on sentiment analysis of movie reviews.)

Imagine I show you a book review, on amazon.com, say. Imagine I hide the number of stars, – all you get to see is the number of stars. And now I’m asking you, that review, is it good or bad?…

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Added by Sigrid Keydana on October 23, 2016 at 9:00am — 4 Comments

Research paper categorization in Python

Text classification (a.k.a. text categorization) is one of the most prominent application of Machine Learning. The purpose of text classification is to give conceptual organization to large collection of documents.An interesting application of text classification is to categorize research papers by most suitable conferences. Finding and selecting a suitable academic conference has always been a challenging task especially for…

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Added by Aqib Saeed on July 26, 2016 at 3:04am — No Comments

Random Forests Algorithm

One of the most popular methods or frameworks used by data scientists at the Rose Data…

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Added by Michael Walker on September 24, 2013 at 8:30pm — 1 Comment

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