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Repository for AI Programming course KCGI Spring Term 2019

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# KCGI AI Programming Spring Semester 2019 course

Solution for each exercises in each lessons.

This repository is a part of the Kyoto College of Graduate Studies for Informatics AI Programming Spring Term 2019.
The course started from 29th May 2019 until 10th August 2019.

## The course syllabus
- Introduction to Python Programming
- Introduction to Data structures and algorithm in Python
- Introduction to machine learning
- Introduction to deep learning
- Convolutional neural networks

## Software requirements:
`Python 3.0 and higher` 
`Jupyter Notebook` 
`Keras` 
`Scikit-learn` 
`Matplotlib` 
`Scipy` 
`NumPy` 
`Pandas` 
`Seaborn` 
`Tensorflow` 
`Google Colaboratory`

## Who's this repository for?
Students of KCGI who register to AI Programming Spring Semester 2019

## References
Jake VanderPlas, “A Whirlwind Tour of Python”, O’Reilly Media Inc., 2016 
Lisa Tagliaferri, “How to Code in Python 3”, Digital Ocean 
“GitHub and Collaboration”, “Data Structures and Algorithms in Python”, “Introduction to Python Programming”, "Introduction to Deep Learning with Pytorch", Udacity Online Course 
Gayle Laakmann McDowell, “Cracking the Coding Interview”, Careercup, 2015 
A. Y. Bhargava, “Grokking Algorithms,” Manning Publications, 2016

## Contact
fairoza@kcg.ac.jp

AI_course

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