AI News, donnemartin/data-science-ipython-notebooks

donnemartin/data-science-ipython-notebooks

Anaconda is a free distribution of the Python programming language for large-scale data processing, predictive analytics, and scientific computing that aims to simplify package management and deployment.

For detailed instructions, scripts, and tools to set up your development environment for data analysis, check out the dev-setup repo.

To view interactive content or to modify elements within the IPython notebooks, you must first clone or download the repository then run the notebook.

am providing code and resources in this repository to you under an open source license.

Because this is my personal repository, the license you receive to my code and resources is from me and not my employer (Facebook).

TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

will be updating this tutorials site on a daily basis adding all relevant topcis, including latest researches papers from internet such as arxiv.org, BIORXIV - Specifically Neuroscience to name a few.

IPython Notebook(s) and other programming tools such as Torch/Lua/D lang in demonstrating deep learning functionality.

Anaconda is a free distribution of the Python programming language for large-scale data processing, predictive analytics, and scientific computing that aims to simplify package management and deployment.

For detailed instructions, scripts, and tools to set up your development environment for data analysis, check out the dev-setup repo.

Note: If you intend to learn the hard way (preferred method)then I'd strongly advice to write as much code as you can yourself and not just run pre-written code.

If you still want to test it, then do the following: To view interactive content or to modify elements within the IPython notebooks, you must first clone or download the repository then run the notebook.