Framework, Machine Learning & Statistics
Datumbox Machine Learning Framework 0.6.1 Released
The new version of Datumbox Machine Learning Framework has been released! Download it now from Github or Maven Central Repository. What is new? The main focus of version 0.6.1 is to resolve various bugs, reduce memory consumption and improve speed. Let…
Company
Introducing OpenAI
OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free…
Machine Learning, python
Writing ‘Python Machine Learning’
It’s been about time. I am happy to announce that “Python Machine Learning” was finally released today! Sure, I could just send an email around to all the…
Uncategorised
Calculus on Computational Graphs: Backpropagation
Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten million times faster, relative to a naive implementation. That’s the …
Machine Learning, python
Python, Machine Learning, and Language Wars
This has really been quite a journey for me lately. And regarding the frequently asked question “Why did you choose Python for Machine Learning?” I guess it…
Framework, Machine Learning & Statistics, programming
Datumbox Machine Learning Framework 0.6.0 Released
The new version of Datumbox Machine Learning Framework has been released! Download it now from Github or Maven Central Repository. What is new? The main focus of version 0.6.0 is to extend the Framework to handle Large Data, improve the code architectu…
Machine Learning, python
Single-Layer Neural Networks and Gradient Descent
This article offers a brief glimpse of the history and basic concepts of machine learning. We will take a look at the first algorithmically described neural…
Machine Learning, python
Principal Component Analysis
Principal Component Analysis (PCA) is a simple yet popular and useful linear transformation technique that is used in numerous applications, such as stock…
Uncategorised
Visualizing Representations: Deep Learning and Human Beings
In a previous post, we explored techniques for visualizing high-dimensional data. Trying to visualize high dimensional data is, by itself, very interesting, but my real goal is something else. I think these techniques form a set of basic building bloc…