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Serving Scikit-learn Models at Scale

Scikit-learn is a great tool for building your models. When it comes time to deploy them to prediction, scale up using Google Cloud ML Engine. In this episode of AI Adventures, Yufeng shows you how to set up your own deployment pipeline with scikit-learn so you can go back to focusing on tuning your model!  

Learning Scikit-Learn (AI Adventures)

Scikit-learn is a well-documented and well-loved Python machine learning library. The library is maintained and reliable, offering a vast collection of machine learning algorithms for you to incorporate into your projects. If you haven’t tried scikit-learn, you definitely should!   In this episode if AI Adventures, Yufeng gives an overview of scikit-learn and shows an example of scikit-learn in a kaggle kernel.  

AutoML Vision – Part 1 (AI Adventures)

In this episode of AI Adventures, Yufeng Guo uses AutoML Vision to build and employ a machine learning model that recognizes different types of….chairs! In part 1, he’ll walk you through gathering the data and creating a csv file that describes the location and label for all the images in the dataset. Don’t miss part 2 to see how the model performs!  

BigQuery and Open Datasets

We all love data. But it can be hard to make practical use of large datasets. In this episode of AI Adventures, Yufeng Guo introduces BigQuery public datasets, which allow you to query huge datasets with great responsiveness without needing to worry about the storage costs. Time to break out your big data toolbox, because these queries are going to be big!  

TensorFlow Object Detection on iOS (AI Adventures)

In this interview of AI Adventures, Yufeng interviews Developer Advocate Sara Robinson to talk about a custom object detection iOS app she built to detect Taylor Swift. We’ll cover everything from training a model with transfer learning, to serving the model in the cloud, to making prediction requests to the model from an iOS device (in Swift!).  

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