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

[email protected]