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Document embeddings with CNN52
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Classroom Contents
How We Built a Job Recommender SaaS with Deep Learning to Disrupt the Job Market
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- 1 Intro
- 2 We are a team of Machine Learning engineers
- 3 Step 1/2: Use Deep Learning to learn embeddings
- 4 Step 2/2: Use embeddings to recommend jobs
- 5 How do you measure the quality of a list of jobs?
- 6 Evaluation measure for implicit missing feedback
- 7 Why Deep Learning?
- 8 Why use Deep Learning? 2 Useful representations
- 9 Why use Deep Learning? 3 Variable length input
- 10 Word embeddings learn to capture semantics
- 11 JobNet is a cascade of useful representations
- 12 Document embeddings with CNN52
- 13 JobNet's architecture
- 14 Dask orchestrates the full task graph
- 15 Automating deployment with CI/CD
- 16 Reproducible infrastructure & software
