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1.ML/NLP/Speech/CV with Python, 2.Python coding skills (leetcode, pandas, Airflow, PySpark, steamlit, and web-scraping, etc)
Jupyter Notebook 1
Templates and practice with torch and tf
Open & close-source, fine-tuning, vector DBs, GenAI on AWS, GCP, Databricks, & Azure, RL methods, prompt eng, monitoring & logging
Jupyter Notebook 1 1
packaging, containers, typescript, node.js, React.js, and API
Python
SQL, R, Tableau, knowledge graphs, MongoDB, Elasticsearch, and data eng stacks
notes on conversational AI, AI ethics, DS math, automation, etc.
1
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