GCP - Machine Learning

Course

This repo is a companion to my LinkedIn Learning course 'GCP ML Essentials' - at https://www.linkedin.com/learning/google-cloud-platform-for-machine-learning-essential-training

Topic Areas

Google Cloud Platform Analytics and Machine Learning Samples for services shown below.

Samples currently include the following:

• GCP Colabs (Jupyter-style) notebook

  • for BigQuery (connect & run SQL queries)
  • for BigQueryML (connect, build, train and predict using ML model) IMPORTANT: Use link in each notebook to open it in GCP Colabs environment
  • for TensorFlow w/GPU - speed test
  • for production workloads, you may want to pay for and use ColabPro ($10/mo) for faster GPU, longer notebook runtimes and more memory

• Scripts and code samples

  • for BigQueryML in SQL
  • Vision API
  • Natural Language API
  • for AutoML Vision & Natural Language
  • for Datalab (Jupyter-notebooks on GCE)
  • for TensorFlow
    • Docker image
    • Virtual Machine image
    • MLEngine
    • TF Probability
  • Cloud TPUs

• Resources
  • Sample Data
    • GCP public datasets - https://console.cloud.google.com/marketplace/browse?filter=solution-type:dataset
    • TensorFlow Hub for Image, Text, Video (models + data) - https://tfhub.dev/
    • TF Datasets - https://www.tensorflow.org/datasets/catalog/overview
    • Google Dataset search - https://datasetsearch.research.google.com/
  • Example Models
    • GCP AI Hub - https://aihub.cloud.google.com/u/0/
    • TensorFlow (Model) Hub - https://www.tensorflow.org/hub
    • TensorFlow Model Garden - https://github.com/tensorflow/models/tree/master/official
    • YouTube Adventures In The Cloud series - https://www.youtube.com/AdventuresInTheCloud
  • Learning about APIs & Concepts
    • Trying out DocumentAI - https://cloud.google.com/document-ai
    • Teachable Machines (teach kids AI) - https://teachablemachine.withgoogle.com/
    • End-to-end tutorial with ML tools - https://cloud.google.com/architecture/building-a-propensity-model-for-financial-services-on-gcp
    • Aweseome TensorFlow (list of currated links) - https://github.com/jtoy/awesome-tensorflow
    • Open source course on ML Foundations (homemade-machine-learning) - https://github.com/trekhleb/homemade-machine-learning
    • DeepMind Educational Resources (notebooks on Github) - https://github.com/deepmind/educational
  • AI Ethics/Tools
    • TensorFlow Responsible API - https://www.tensorflow.org/responsible_ai
    • TensorFlow Fairness Indicators - https://www.tensorflow.org/tfx/guide/fairness_indicators
    • Article - addressing bias in COVID-19 data - https://cloud.google.com/blog/products/ai-machine-learning/google-and-harvard-improve-covid-19-forecasts
    • Article - monitor models for drift - https://cloud.google.com/blog/topics/developers-practitioners/monitoring-feature-attributions-how-google-saved-one-largest-ml-services-trouble

Setup

To setup general prerequisites see the SETUP.md file in this Repo.