In this post, we’ll review three advanced techniques for improving the performance and generalization power of recurrent neural networks. We’ll demonstrate all three concepts on a temperature-forecasting problem, where you...continue reading.
In this post, we’ll review three advanced techniques for improving the performance and generalization power of recurrent neural networks. We’ll demonstrate all three concepts on a temperature-forecasting problem, where you...continue reading.
Getting started with notebooks is as easy as clicking a button on Datazar. Notebooks are great tools that make — creating and sharing reproducible analysis — super easy. To create R or Python notebooks,...continue reading.
Having to train an image-classification model using very little data is a common situation, in this article we review three techniques for tackling this problem including feature extraction and fine...continue reading.
Having to train an image-classification model using very little data is a common situation, in this article we review three techniques for tackling this problem including feature extraction and fine...continue reading.
Introduction On the 8th, 9th and 10th of December I participated at the IKEA hackaton. In one word it was just FANTASTIC! Well organized, good food, and participants from literally...continue reading.
Two-class classification, or binary classification, may be the most widely applied kind of machine-learning problem. In this excerpt from the book Deep Learning with R, you’ll learn to classify movie...continue reading.
Two-class classification, or binary classification, may be the most widely applied kind of machine-learning problem. In this excerpt from the book Deep Learning with R, you’ll learn to classify movie...continue reading.
Introduction Market Basket Analysis or association rules mining can be a very useful technique to gain insights in transactional data sets, and it can be useful for product recommendation. The...continue reading.
This package lets you analyze the variables of a dataset, to evaluate how is the shape of your data. Consider this the first step for modeling.continue reading.
Topic modeling is a method for finding abstract topics in a large collection of documents. With it, it is possible … Read More →continue reading.
In this post, we will once again examine data about wine. Previous predictive modeling examples on this blog have analyzed a subset of a larger wine dataset. In the current...continue reading.
New big release (200-pages) in the Data Science Live Book -open source- Download available in PDF, eBook and Kindle versions!continue reading.
The tfruns package provides a suite of tools for tracking, visualizing, and managing TensorFlow training runs and experiments from R.continue reading.
The tfruns package provides a suite of tools for tracking, visualizing, and managing TensorFlow training runs and experiments from R.continue reading.
There are couple of interesting findigns while I was trying to get maximum reward for the hooper. 1- Adam optimizer works much better than gradient descent. The following plots shows...continue reading.
We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a...continue reading.
We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a...continue reading.
LASSO has been a popular algorithm for the variable selection and extremely effective with high-dimension data. However, it often tends to “over-regularize” a model that might be overly compact and...continue reading.
The tfestimators package is an R interface to TensorFlow Estimators, a high-level API that provides implementations of many different model types including linear models and deep neural networks.continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
