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Top Companies to work for if you are a data scientist

Data Science 101

The company develops a DataOps platform that can allow business to manage streaming data flows. Having a degree in Data Science, Computer Science, Mathematics, Statistics, Social Science, Engineering with additional knowledge of Python, R Programming, Hadoop increases the possibility of getting a starting position job. 2 StreamSets.

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Authoring custom transformations in Amazon SageMaker Data Wrangler using NLTK and SciPy

AWS Machine Learning Blog

The custom transform feature supports Python, PySpark, and SQL as different steps in code snippets. NLTK is a leading platform for building Python programs to work with human language data. You can create a custom transform using Pandas, PySpark, Python user-defined functions, and SQL PySpark. Choose Python (Pandas).

AWS 98
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The Shift from Models to Compound AI Systems

BAIR

Python code that calls an LLM), or should it be driven by an AI model (e.g. DataOps: Because many AI systems involve data serving components like vector DBs, and their behavior depends on the quality of data served, any focus on operations for these systems should additionally span data pipelines. Operation: LLMOps and DataOps.

AI 145
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How GPT helped expand our marketing team’s capacity

Snorkel AI

The python API for OpenAI’s foundation model let me automate the first draft of summaries and sample tweets for articles recently published on our blog. Implementation: GPT-3 in a Python app I created an app that split its code across several functionalities: Finding key information about new posts on the blog. DataOps #DataScience.”

DataOps 52
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How HR Tech Company Sense Scaled their ML Operations using Iguazio

Iguazio

Iguazio is an essential component in Sense’s MLOps and DataOps architecture, acting as the ML training and serving component of the pipeline. Flexibility : Open source MLRun (built and maintained by Iguazio) provides devs and scientists with a way to manage the full stack using Python. Gennaro Frazzingaro, Head of AI/ML at Sense.

ML 52
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How GPT helped expand our marketing team’s capacity

Snorkel AI

The python API for OpenAI’s foundation model let me automate the first draft of summaries and sample tweets for articles recently published on our blog. Implementation: GPT-3 in a Python app I created an app that split its code across several functionalities: Finding key information about new posts on the blog. DataOps #DataScience.”

DataOps 52
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How GPT helped expand our marketing team’s capacity

Snorkel AI

The python API for OpenAI’s foundation model let me automate the first draft of summaries and sample tweets for articles recently published on our blog. Implementation: GPT-3 in a Python app I created an app that split its code across several functionalities: Finding key information about new posts on the blog. DataOps #DataScience.”

DataOps 52