See the following -

A List of Open Source Tools for College

I've used Linux now for 3 1/2 years, which to me is a substantial period of time. In that time, I have gone from only using LibreOffice to expanding into a purely Linux and open source workflow. I have built my workflow around only using open source software if at all possible, although I am required to use a couple of proprietary tools sparingly. I'd like to share my own philosophy regarding open source. I was first introduced to Linux by my programming teacher; he is a passionate believer in FLOSS and he converted me. I have a passionate belief in the technical superiority of open source tools over proprietary ones because they allow me the freedom to use them however I wish...

Continuum Analytics Teams Up with Intel for Python Distribution Powered by Anaconda

Press Release | Continuum Analytics | September 8, 2016

Continuum Analytics, the creator and driving force behind Anaconda, the leading Open Data Science platform powered by Python, is pleased to announce a technical collaboration with Intel resulting in the Intel® Distribution for Python powered by Anaconda. Intel Distribution for Python powered by Anaconda was recently announced by Intel and will be delivered as part of Intel® Parallel Studio XE 2017 software development suite. With a common distribution for the Open Data Science community that increases Python and R performance up to 100X, Intel has empowered enterprises to build a new generation of intelligent applications that drive immediate business value...

Read More »

Peering into Complex, Tiny Structures with 3D Analysis Tool Tomviz

New open source software tomviz—short for tomographic visualization—enables researchers to interactively understand large 3D datasets. More specifically, the software analyzes 3D tomographic data similar to a medical CT-scan but at the nanoscale. "When you can take a nanoparticle or biomolecule and spin it around, slice it, look inside it, and quantitatively analyze it, you get a complete picture from all angles," says Yi Jiang, a physics Ph.D. candidate at Cornell University. Watch this 3-minute video from the Michigan Engineering department....

Python Versus R for Machine Learning and Data Analysis

Machine learning and data analysis are two areas where open source has become almost the de facto license for innovative new tools. Both the Python and R languages have developed robust ecosystems of open source tools and libraries that help data scientists of any skill level more easily perform analytical work. The distinction between machine learning and data analysis is a bit fluid, but the main idea is that machine learning prioritizes predictive accuracy over model interpretability, while data analysis emphasizes interpretability and statistical inference. Python, being more concerned with predictive accuracy, has developed a positive reputation in machine learning. R, as a language for statistical inference, has made its name in data analysis...

Tidelift and NumFOCUS partner to support essential community-led open source data science and scientific computing projects

Press Release | NumFOCUS, Tidelift | October 22, 2019

NumFOCUS, a nonprofit supporting better science through open code, and Tidelift today announced a partnership to support open source libraries critical to the Python data science and scientific computing ecosystem. NumPy, SciPy, and pandas-sponsored projects within NumFOCUS-are now part of the Tidelift Subscription. Working in collaboration with NumFOCUS, Tidelift financially supports the work of project maintainers to provide ongoing security updates, maintenance and code improvements, licensing verification and indemnification, and more to enterprise engineering and data science teams via a managed open source subscription from Tidelift.

Read More »

Top 8 Open Source Artificial Intelligence (AI) Technologies in Machine Learning

Artificial intelligence (AI) technologies are quickly transforming almost every sphere of our lives. From how we communicate to the means we use for transportation, we seem to be getting increasingly addicted to them. Because of these rapid advancements, massive amounts of talent and resources are dedicated to accelerating the growth of the technologies. Here is a list of 8 best open source AI technologies you can use to take your machine learning projects to the next level.

What Is Deep Learning, and Why Should You Care About It?

Whether it's Google's headline-grabbing DeepMind AlphaGo victory, or Apple's weaving of "using deep neural network technology" into iOS 10, deep learning and artificial intelligence are all the rage these days, promising to take applications to new heights in how they interact with us mere mortals. To go deeper (yes, I went there) on the subject, I reached out to the team at the deep learning-focused company Skymind, creators of Deep Learning For Java (DL4J), and authors of the recently released O'Reilly book Deep Learning: A Practitioner's Approach, Josh Patterson and Adam Gibson...