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MIT Overview of AI and ML Source: Toward DataScience Project Definition The first step in AI projects is to define the problem. 12, 2014. [3] LeGro, “ Interpreting Confusing Multiple Linear Regression Results,” Towards DataScience, Sep. MIT Press, ISBN: 978–0262028189, 2014. [7] 3, IEEE, 2014.
They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and datascience to guide powerful LLMs (Large Language Models) towards complex tasks. Datascience methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies.
Jupyter notebooks have been one of the most controversial tools in the datascience community. Nevertheless, many data scientists will agree that they can be really valuable – if used well. When datascience was sexy , notebooks weren’t a thing yet. In 2014, Project Jupyter evolved from IPython.
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