Baksan Valley, Kabardino-Balkaria, Russian Federation: April 10-18, 2019
Machine learning
by O. KalashevSoftware requirements for Machine learning course:
Laptop running 64bit OS (Windows, MacOS or Linux) with at least 20 Gb of disk space available is recommended.
We provide virtual machine image with the python virtual environment installed.
To run the image you will need Virtualbox program which can be downloaded from here.
For those who prefer working in their native environment we recommend to install python 3.5 virtual environment with the following list of libraries:
tensorflow (ver. 1.12), matplotlib, pandas, keras, h5py, sklearn, jupyter
Bellow are approximate instructions on on how to do this using miniconda crossplatform package manager
- install miniconda for your platform from here (at this step you may choose either Python 2.7 or Python 3.7 based miniconda version)
- open command shell window and create Python 3.5 virtual environment with the following shell commands:
conda create --name ML python=3.5
conda activate ML
pip install --upgrade pip
pip install tensorflow==1.12 matplotlib pandas keras h5py sklearn jupyter