From 8195045f15db442f21b99e0a21457ba073f0392c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Aur=C3=A9lien=20Geron?= Date: Tue, 27 Sep 2016 14:08:23 +0200 Subject: [PATCH] Point to O'Reilly book --- README.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index adecad9..be47a17 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,16 @@ Machine Learning Notebooks ========================== -[![Gitter](https://badges.gitter.im/ageron/handson-ml.svg)](https://gitter.im/ageron/handson-ml?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) +[![Gitter](https://badges.gitter.im/ageron/handson-ml.svg)](https://gitter.im/ageron/handson-ml?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/ageron/handson-ml) This project aims at teaching you the fundamentals of Machine Learning in -python. +python. It contains the example code from my O'Reilly book [Hands-on Machine Learning with Scikit-Learn and TensorFlow](http://shop.oreilly.com/product/0636920052289.do): + +[![book](http://akamaicovers.oreilly.com/images/0636920052289/rc_cat.gif)](http://shop.oreilly.com/product/0636920052289.do) Simply open the [Jupyter](http://jupyter.org/) notebooks you are interested in: -* using Binder: [![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/ageron/handson-ml) +* using Binder: [launch binder](http://mybinder.org/repo/ageron/handson-ml) * this let's you experiment with the code examples * or using [jupyter.org's notebook viewer](http://nbviewer.jupyter.org/github/ageron/handson-ml/blob/master/index.ipynb) * note: [github.com's notebook viewer](https://github.com/ageron/handson-ml/blob/master/index.ipynb) also works but it is slower and the math formulas are not displayed correctly @@ -17,7 +19,7 @@ Simply open the [Jupyter](http://jupyter.org/) notebooks you are interested in: # Installation -No installation is required, just click the *launch binder* button above, and you're good to go! But if you insist, here's how to install these notebooks on your system. +No installation is required, just click the *launch binder* button above, this creates a new VM with everything you need already preinstalled, so you'll be good to go in a just a few seconds! But if you insist, here's how to install these notebooks on your own system. Obviously, you will need [git](https://git-scm.com/) and [python](https://www.python.org/downloads/) (python 3 is recommended, but python 2 should work as well). @@ -36,7 +38,7 @@ There are different packages for TensorFlow, depending on your platform. Please Then install the required python packages using pip: - $ pip install -r requirements.txt + $ pip install --upgrade -r requirements.txt If you want to install the Jupyter extensions, run the following command: