TensorFlow结构化数据机器学习七步实战

There are many great machine learning tutorials on the internet. However, most of them focus on a specific part of the machine learning, for example, exploring data, build a model, training, and evaluation. Very few of them introduce the complete steps for building a machine learning model.

One of the most popular articles outlines the steps for approaching the process of machine learning is Yufeng Guo’s The 7 steps of Machine Learning, introduced by Google Cloud Platform.

https://www.youtube.com/watch?v=nKW8Ndu7Mjw

Guo laid out the 7 steps as follows:

1. Gathering data

2. Preparing data (and exploring data)

3. Choosing a model

4. Training

5. Evaluation

6. Hyperparameter tuning

7. Prediction (and save model)

In this article, we are going to put the above steps into practice and build a machine learning model from scratch.

链接地址：https://towardsdatascience.com/the-googles-7-steps-of-machine-learning-in-practice-a-tensorflow-example-for-structured-data-96ccbb707d77