Machine Learning: Overview

My Professional History

• Microsoft Research: AI Content and Strategy (through Aquent)
• Amount (an ML fintech serving the big banks)
• Limited coursework - e.g. 5 ACE Credit Hours through DeepLearning.ai
• Machine Learning is a sub-topic of the following certifications I've earned (or am preparing to):
  • GCP ACE
  • AWS SAP
  • GCP PMLE
• Articles I've written:
  • https://www.baeldung.com/neuroph

Resources and Links

1. https://www.baeldung.com/neuroph

Code samples:

1. https://github.com/Thoughtscript/python_api_2023/tree/main/backend
2. https://github.com/Thoughtscript/kaggle_jupyter_notebook_2025
3. https://github.com/Thoughtscript/Hugging_Face_LLM_2025
4. https://github.com/Thoughtscript/tcg_data_science
5. https://github.com/Thoughtscript/python_beam_spark
6. https://github.com/Thoughtscript/tfx_2026
7. https://github.com/Thoughtscript/tf_gcp_local_2026
8. https://github.com/Thoughtscript/supervised_learning_2026
9. https://github.com/Thoughtscript/model_compression_2026
10. https://github.com/Thoughtscript/ml_scoring_2026
11. https://github.com/Thoughtscript/tf_to_coreml_2026