[PYTHON] Machine learning tutorial summary

First of all

At this stage, my development environment is Python3.5.1 Anaconda It is assumed that TensorFlow is included.

How to put these three Last site Assuming you can get rid of

If you need something else Add and add libraries.

Knowledge of my current situation

What is machine learning? ?? ?? → Chinpunkanpun I don't understand anything at all. → The meaning of how to write the algorithm and how to proceed is unknown → I don't even know the mathematical elements → How do you write Python in the first place? Stage

→ The goal is to enable people who do not understand the current situation to do simple machine learning.

Slides or sites that might be useful

Machine learning slides for beginners → It is easy to grasp the image of machine learning. There is no algorithmic viewpoint.

Python tutorial links

Introduction to Python Python Tutorial Python-izm → Actually understand while making code

Links to tensorflow tutorials

Roughly translate TensorFlow Tutorial into Japanese TensorFlow Tutorial-MNIST (Translation) for ML Beginners Try the TensorFlow tutorial (1) Try the TensorFlow tutorial (2)

Summary of Tensorflow introductory materials for those who want to start machine learning → Read carefully

Machine learning tutorial links

Machine learning giyo.jp

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