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How signal processing can be used to identify patterns in complex time series

@machinelearnbot

The trend and seasonality can be accounted for in a linear model by including sinusoidal components with a given frequency. However, finding the appropriate frequency for each sinusoidal component requires a little more digging. This post shows how to use fast Fourier transforms to find these frequencies. For the purposes of this post, we will only focus on the T(t) and S(t) components. The actual model fitting will be done in a separate post.


Interpret Principal Component Analysis (PCA)

#artificialintelligence

Data can tell us stories. That's what I've been told anyway. As a Data Scientist working for Fortune 300 clients, I deal with tons of data daily, I can tell you that data can tell us stories. You can apply a regression, classification or a clustering algorithm on the data, but feature selection and engineering can be a daunting task. A lot of times, I have seen data scientists take an automated approach to feature selection such as Recursive Feature Elimination (RFE) or leverage Feature Importance algorithms using Random Forest or XGBoost.


Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features

arXiv.org Artificial Intelligence

Texture classification became one of the problems which has been paid much attention on by image processing scientists since late 80s. Consequently, since now many different methods have been proposed to solve this problem. In most of these methods the researchers attempted to describe and discriminate textures based on linear and non-linear patterns. The linear and non-linear patterns on any window are based on formation of Grain Components in a particular order. Grain component is a primitive unit of morphology that most meaningful information often appears in the form of occurrence of that. The approach which is proposed in this paper could analyze the texture based on its grain components and then by making grain components histogram and extracting statistical features from that would classify the textures. Finally, to increase the accuracy of classification, proposed approach is expanded to color images to utilize the ability of approach in analyzing each RGB channels, individually. Although, this approach is a general one and it could be used in different applications, the method has been tested on the stone texture and the results can prove the quality of approach.


Semantic analysis of webpages with machine learning in Go · James Bowman

#artificialintelligence

I spend a lot of time reading articles on the internet and started wondering whether I could develop software to automatically discover and recommend articles relevant to my interests. There are various aspects to this problem but I have decided to concentrate first on the core part of the problem: the analysis and classification of the articles. To illustrate the problem, lets consider the following string representing an article for the purpose of this example. We will attempt to use this article as a query to find similar or related articles from the following set of strings (usually referred to as a'corpus'), where each string also represents an article. The approaches we will consider for this example will work with any type of query equally whether the query is itself an article as above or simply a short string of words.


Semantic analysis of webpages with machine learning in Go · James Bowman

#artificialintelligence

I spend a lot of time reading articles on the internet and started wondering whether I could develop software to automatically discover and recommend articles relevant to my interests. There are various aspects to this problem but I have decided to concentrate first on the core part of the problem: the analysis and classification of the articles. To illustrate the problem, lets consider the following string representing an article for the purpose of this example. We will attempt to use this article as a query to find similar or related articles from the following set of strings (usually referred to as a'corpus'), where each string also represents an article. The approaches we will consider for this example will work with any type of query equally whether the query is itself an article as above or simply a short string of words.