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Amelia Matteson
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Amelia Matteson posted a blog post

Why Topological Data Analysis Works

This article is written by Gunnar Carlsson.Topological data analysis has been very successful in discovering information in many large and complex data sets. In this post, I would like to discuss the reasons why it is an effective methodology.One of the key messages around topological data analysis is that data has shape and the shape matters. Although it may appear to be a new message, in fact it describes something very familiar.…See More
13 hours ago
ANISH XAVIER liked Amelia Matteson's blog post Limits of Linear Models for Forecasting
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Jerome Dixon liked Amelia Matteson's blog post Limits of Linear Models for Forecasting
Tuesday
Paulo César liked Amelia Matteson's blog post Implementing a Neural Network from Scratch in Python – An Introduction
Monday
Claude Cundiff liked Amelia Matteson's blog post Deep Learning Cheat Sheet for Beginners
Monday
George Joseph liked Amelia Matteson's blog post Limits of Linear Models for Forecasting
Monday
Amelia Matteson posted a blog post

The DeepMind Strategy - How AI is Revolutionizing Business Models

This article was written by Francesco Corea.Image Credit: Sergey Tarasov/ShutterstockI. Overview:AI is introducing radical innovation even in the way…See More
Jan 13
Amelia Matteson's blog post was featured

The DeepMind Strategy - How AI is Revolutionizing Business Models

This article was written by Francesco Corea.Image Credit: Sergey Tarasov/ShutterstockI. Overview:AI is introducing radical innovation even in the way…See More
Jan 13
Carroll Patton liked Amelia Matteson's blog post Limits of Linear Models for Forecasting
Jan 10
Frederick T Williams liked Amelia Matteson's blog post Limits of Linear Models for Forecasting
Jan 8
CARLOS GABRIEL QUEIROZ MOUTINHO commented on Amelia Matteson's blog post Explainable Artificial Intelligence (XAI)
"DEMONSTRAÇÃO MODELO DENSIDADE(Padrão Monte Carlo)x = Economia Normativo-Descritiva;y = Modelagem Regulatória;z = Planejamento Executivo (x; y; z) = CRA RJ 20-86.010  1st PROCESS (linear)... integration ...…"
Jan 7
CARLOS GABRIEL QUEIROZ MOUTINHO commented on Amelia Matteson's blog post Explainable Artificial Intelligence (XAI)
" 1st PROCESS (linear)... integration ... validation ... composition as structure ... pattern of data ... cloud segmented as array of data ... qualication ... REPEAT PROCESS ; 2nd PROCESS (exponencial).... CONJUGATION ... REASONABLE PATTERN…"
Jan 7
ANISH XAVIER liked Amelia Matteson's blog post Why do Decision Trees Work?
Jan 7
Amelia Matteson posted blog posts
Jan 6
Amelia Matteson's blog post was featured

Limits of Linear Models for Forecasting

This article was written by Blaine BatemanIn this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear models. I will use a (simulated) noisy and nonlinear time series of sales data, use multiple linear regression and a small neural network to fit training data, then predict 90 days forward.  I implemented all of this in R, although it could be done in a number of coding environments. (Specifically, I used R 3.4.2 in RStudio 1.1.183 in Windows…See More
Jan 6
sadhu mangal liked Amelia Matteson's blog post Boosting the accuracy of your Machine Learning models
Jan 1

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BI, Big Data, Data Science
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Student
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Amelia Matteson's Blog

The DeepMind Strategy - How AI is Revolutionizing Business Models

Posted on January 11, 2018 at 2:30pm 0 Comments

This article was written by Francesco Corea.

Image Credit: …

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Limits of Linear Models for Forecasting

Posted on January 5, 2018 at 12:30pm 0 Comments

This article was written by Blaine Bateman

In this post, I will demonstrate the use of nonlinear models for time series analysis, and contrast to linear models. I will use a (simulated) noisy and nonlinear time series of sales data, use multiple linear regression and a small neural network to fit training data, then predict 90 days forward.  I implemented all of this in R, although it could be done in a number of…

Continue

Extreme Event Forecasting at Uber - with Recurrent Neural Networks

Posted on December 31, 2017 at 12:00pm 0 Comments

This article is by Nikolay Laptev, Slawek Smyl, and Santhosh Shanmugam.

At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber will receive at any given time.

Extreme events—peak travel times such as holidays, concerts, inclement weather,…

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PCA with Rubner-Tavan Networks

Posted on December 23, 2017 at 12:00pm 0 Comments

This article is written by Giuseppe Bonaccorso.

One of the most interesting effects of PCA (Principal Component Analysis) is to decorrelate the input covariance matrix C, by computing the eigenvectors and operating a base change using a matrix V:…

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