Predicting Sunspot Frequency with Keras
In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun, associated with lower temperature....continue reading.
In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun, associated with lower temperature....continue reading.
In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun, associated with lower temperature....continue reading.
In this course I cover statistics and machine learning topics. The course assumes little knowledge about what statistics or machine learning involves. I touch lightly on the theory of statistics...continue reading.
The larger and more complex the business the more metrics and dimensions. One day you understand that it is impossible to track them with only your eyes.The larger and more...continue reading.
The larger and more complex the business the more metrics and dimensions. One day you understand that it is impossible to track them with only your eyes.The larger and more...continue reading.
A workshop about Machine Learning in R with H2O and LIME, from experts to R lovers. Very few seats available, register soon! The 25th of June at Mikamai. The post...continue reading.
A guest post by @MaxMaPichler, MSc student in the Group for Theoretical Ecology / UR Artificial neural networks, especially deep neural networks and (deep) convolutions neural networks, have become increasingly popular...continue reading.
In this tutorial we will build a deep learning model to classify words. We will use the Speech Commands dataset which consists of 65,000 one-second audio files of people saying...continue reading.
In this tutorial we will build a deep learning model to classify words. We will use the Speech Commands dataset which consists of 65,000 one-second audio files of people saying...continue reading.
With tensions heightened recently at the United Nations, one might wonder whether we’ve drawn closer, or farther apart, over the decades since the UN was established in 1945. We’ll see...continue reading.
I gave a presentation on Topic Modeling from a practical perspective*, using data about the proceedings of plenary sessions of … Read More →continue reading.
By Gabriel Vasconcelos Before we begin, I would like to thank Anuj for kindly including our blog in his list of the top40 R blogs! Check out the full list...continue reading.
In the ThinkR Task force, we love playing with H2O in R. Their algorithms for machine learning are really powerful. Combined with Apache Spark through Sparkling Water, H2O provides even...continue reading.
This (co-)guest post by Carsten F. Dormann & Florian Hartig summarizes a comprehensive review on model averaging for predictive inference, just published in Ecological Monographs.continue reading.
A brief introduction to machine learning using the intuition behind decision trees and random forest for non-developers.continue reading.
Well, what you hate is the way that math was taught to you. This post is a try to re-discover the beauty of learning math by finding a purpose, using...continue reading.
The question is looming: Will robots, machines, and computer programs take our jobs? The answer seems to be “Yes, but…”. Find out why! The post Will Machines Take Away Our...continue reading.
(require ‘[huri.core :as h] ‘[clojure.core.matrix.dataset :as d] ‘[incanter.core :as i]) (def ds [{:id 1.0 :name “name1”} {:id 2.0 :name “name2”} {:id 3.0 :name “name3”}]) ;; ADD 2 COLUMNS TO THE...continue reading.
Introduction My son is 8 years old and he has shown a lot of interest in cars, which is strange because I have zero interest in cars. But he is...continue reading.
Now that software ate the world, what’s for dessert? Those in the know know that it’s AI. It seems everyone …Continue reading →continue reading.