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Demystifying AI Workshop Optional Software Download and Install Mentoring Session

Date & Time: Friday July 21st, 2017 6-9 pm

Location: NextSpace Coworking Berkeley 2081 Center St, Berkeley, CA 94704

It is recommended that attendees install Python, Anaconda, Jupyter Notebook, Scikit Learn, and TensorFlow on their laptops prior to attending.

Mentoring Slack Channel

We created a slack channel for easy communication and mentoring during the event.

-Join Accel.AI Slack

-Join #demystify-ai-workshop

Quick Install Method

We have prepared Docker images (Python 2.7 & 3.6) with instructions as a quick install method.

https://github.com/AccelAI/datascience-docker/blob/master/README.md

Step by step instructions for software download and installation on Mac & Windows

Package Documentation:

Python

Anaconda

Jupyter Notebook

Scikit Learn

Tensorflow

Instructions for Mac:

  1. Download & install Anaconda.
    (We strongly recommend using python 3.6.1 version)

  2. Open a terminal and cd to your home directory ( cd ~/ )

  3. Customzie & paste the following into the terminal and press [Enter] to start the environment installation:

    conda create --prefix ~/anaconda3/envs/[name of your environment] python=[version of python you want installed] scipy scikit-learn nose readline pandas seaborn jupyter tk graphviz requests pyyaml ipywidgets tensorflow pytorch theano

    For example: conda create --prefix ~/anaconda3/envs/myTFenv python=3.6.1 scipy scikit-learn nose readline pandas seaborn jupyter tk graphviz requests pyyaml ipywidgets tensorflow pytorch theano

  4. Once the above has run successfully, there will be a message about activating the environment

  5. source activate [name of your environment]

    For example: source activate myTFenv

  6. your command-line prompt should change to reflect that you are in and active environment.

    For example: (myTFenv) My-MacBook-Pro: ~ myusername$

  7. Once the environment is active and you are at the command prompt again, type:

    pip install keras

You should now be up and running and able to code, run examples, or launch a Jupyter Notebook.

Instructions for Windows:

  1. Download & install Anaconda. We strongly recommend using python 3.6 - TensorFlow for python 2.7.x on is not available for Windows

  2. Open a command prompt (NOT PowerShell!) and cd to your home directory:

    cd C:\Users\[your user name]

  3. Customize & Paste the following into the terminal and press [Enter] to start the environment installation:

conda create --prefix ~\anaconda3\envs\[name of your environment] python=[version of python you want installed] scipy scikit-learn nose readline pandas seaborn jupyter tk graphviz requests pyyaml ipywidgets tensorflow pytorch theano

For example: conda create --prefix ~\anaconda3\envs\ myTFenv python= 3.6.1 scipy scikit-learn nose readline pandas seaborn jupyter tk graphviz requests pyyaml ipywidgets tensorflow pytorch theano

  1. Once the above has run successfully, there will be a message about activating the environment

  2. activate [name of your environment]

    For example: activate myTFenv

  3. your command-line prompt should change to reflect that you are in and active environment.

    For example: $(myTFenv) C:\Users\ [your username]

  4. Once the environment is active and you are at the command prompt again, type:

    pip install keras

Additional Presentation Specific Links or Setup

Why AI Works: The Epistemeology of Deep Learning

-Presentation Slides

Intro to Machine Learning with George McIntire

-Fork & Clone Github repo: https://github.com/GeorgeMcIntire/intro_ml_presentation

Word Embeddings Workshop with Rachel Thomas, PhD

-Fork & Clone Github repo: https://github.com/fastai/word-embeddings-workshop

Generating Text with Recurrent Neural Networks using Keras with Melissa Roemmele

-Fork & Clone Github repo: https://github.com/roemmele/keras-rnn-demo

Hands on Intro to Pytorch with Abhishek Sharma

-Fork & Clone Github repo: https://github.com/abhi21/pytorch-tutorial

Building Chatbots with Michael Khait

-Install the latest version of NodeJS (https://nodejs.org/en/download/)

-Create Facebook Developer Account (https://developers.facebook.com)

-Create Sample Facebook Page (https://www.facebook.com/pages/create/)

-Create Microsoft Account (https://dev.botframework.com/)

-Presentation Slides

Can a machine control the human body? with Lukasz Kidzinski, PhD

-Fork & Clone Github repo: https://github.com/stanfordnmbl/osim-rl#getting-started

-Presentation Slides

Molecular Machine Learning with Bharath Ramsundar

-Presentation Slides

Smart Villages Workshop

-Doc: https://drive.google.com/drive/folders/0B5jWGSpbXP6SYTVRemhzQWFKSDg

Representing and mining multisource, multimodal and heterogeneous data with Ben-Manson Toussaint, PhD

-Presentation Slides

Product Market Fit in AI with Masha Kubyshina

-Presentation Slides

Personalization Redefined Through Machine Learning with Sudha Subramanian

-Presentation Slides

Machine Learning Tools with Pankaj Kumar

-Presentation Slides