[Note] Python, when starting machine learning / deep learning [Links]

I haven't done any programming, so I've summarized what I referred to before learning how to use Python and the basics of machine learning and deep learning. It is basically a summary of articles for beginners.

** About environment construction ** ・ TensorFlow environment construction About installation of Anaconda and TensorFlow.

-How to install the deep learning framework Tensorflow 1.0 in the Anaconda environment of Windows Similarly about installing TensorFlow.

・ How to use TensorBoard It describes in detail how to use Tensorboard.

** How to use Python ** ・ Scipy Lecture Notes (Japanese translation) You can master most of the basic usage (especially NumPy, Matplotlib, Scipy) just by reading here.

・ I made a Python text Similarly, you can master most of the basic usage just by reading here.

Introduction of Machine Learning ・ MNIST For ML Beginners English. Explains the basics of machine learning (ML) and MNIST.

・ I'm neither a programmer nor a data scientist, but I've touched Tensorflow for a month, so it's super easy to understand The article above is carefully explained and supplemented in Japanese.

・ Neural network and deep learning Translate English articles. For those who want to understand the essence, although the content is insanely rich.

Reference book ・ Introduction to Python for scientific computing-Development basics, essential libraries, speeding up Although it is written as an introduction, it is highly recommended for those who have a little bit of Python or programming. It also explains in an easy-to-understand manner how Numpy, Scipy, Pandas, etc. handle data. It was a good book for people who have nothing to do with science and technology.

** Introduction of interesting articles ** ・ Let's feel like a material researcher with python [Introduction to pymatgen] As an introduction to Materials Informatics. The content is easy to get along with.

・ Commentary by Toshihiro Kamishima Many commentary articles by experts. The content is quite rich, but it is very helpful.

・ Solve all 2015 Center Test for University Admissions Mathematics IA with a program (Python) Introducing a calculation method using Python (especially Scipy). Even if I didn't understand the detailed formulas, I was just excited and felt the possibility.

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