教程列表：
What is Machine Learning?
The 7 Steps of Machine Learning
Plain and Simple Estimators
Serverless Predictions at Scale
Visualizing Your Model Using TensorBoard
Estimators Revisited: Deep Neural Networks
Big Data for Training Models in the Cloud
Natural Language Generation at Google Research
Distributed Training in the Cloud
Machine Learning Meets Fashion
Which Python Package Manager Should You Use?
Wrangling Data with Pandas
Introduction to Kaggle Kernels
Jupyter Tips and Tricks
Datalab: Notebook in the Cloud
Print Statements in TensorFlow
TensorFlow Object Detection on iOS
Visualize your Data with Facets
Quick Draw: the biggest doodle dataset
BigQuery and Open Datasets
How to Make a Data Science Project with Kaggle
AutoML Vision - Part 1
AutoML Vision - Part 2
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