Unsupervised Thoughts

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Deep Learning - Week 6

Week 6 Learning Material

Structuring Machine Learning Projects - Week 1

This week covered the following topics:

  • Why ML Strategy
  • Orthogonalization
  • Single Number Evaluation Metric
  • Satisficing and Optimizing Metric
  • Train/Dev/Test Distributions
  • Size of the Dev and Test Sets
  • When to Change Dev/Test Sets and Metrics?
  • Why Human-level Performance …

Deep Learning - Week 5

Week 5 update for my 12 Week Deep Learning Syllabus

I took a couple of weeks off for a mini vacation to Washington DC to attend my convocation with my family and then ended up getting sick which laid me up for a few days. Haven't been very productive the …

Deep Learning - Week 3

The Andrew Ng's Coursera courses are so good I'm just going to finish out all 5 courses in the Deep learning Specialization. This will give me the foundational knowledge I'm looking for while I do some small side projects to test some implementations and learning the tools. For my first …

Deep Learning - Week 2

My goal is to do these postings on Sundays but I missed that this week due to taking Saturday off and the fact that week 4 of the the Coursera course took me longer than expected. Time well spent and worth posting on a Wednesday.

Week 2 Material

12 Week Deep Learning Syllabus

Research truly is a winding path. I started along a path of interoperability of digital health records looking at protocols, current systems and considering methods for modifying protocols, filesystems with very high level goals of:

  1. Putting control of the full health record including charts, results, diagnostic imaging etc into the …
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