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- 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
AI Adventures的相关介绍
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