Source: thenewstack.io
4 Major Benefits of Using AutoML over Hand CodingCategory: Business, Data, Microsoft, machine-learning, artificial-intelligence
https://www.linkedin.com/in/milescadkins/' Everywhere you look, companies are identifying ways to use data to improve or resolve business problems. There are a plethora of real-world use cases for applying AI models.
Traditionally, whenever a new AI model is required, a data scientist would reach for a new Jupyter Notebook and start programming.
Contrast that scenario with a data scientist hand coding to create a data pipeline, build the model, do all the testing and then run the dataset against a handful of algorithms.
As data scientists hand code models, they may be overly focused on the journey to evolve a model and the experiments they made, while a business manager might only be interested in results and the actionable insights generated by the AI model.
Traditionally, whenever a new AI model is required, a data scientist would reach for a new Jupyter Notebook and start programming.
Contrast that scenario with a data scientist hand coding to create a data pipeline, build the model, do all the testing and then run the dataset against a handful of algorithms.
As data scientists hand code models, they may be overly focused on the journey to evolve a model and the experiments they made, while a business manager might only be interested in results and the actionable insights generated by the AI model.
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