Artificial Intelligence (AI) Applications in Industry AI is like a Swiss Army knife for the business world – it’s versatile, powerful, and can be adapted to a multitude of tasks. But when it comes to applying AI in industry, there are two main approaches: horizontal and vertical. Let’s break them down in a simple, human-friendly […]
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Python Code Optimization using Cython VS Numba Cython Numba Final Note If you don’t need to distribute your code beyond your computer or your team (especially if you use Conda), then Numba can be a great choice. Otherwise, you should lean toward Cython. We can’t directly optimize (replace) pandas/numpy with Cython/Numba. We first need to
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Benefits of Using Random Forest Model In the ever-evolving world of machine learning, the Random Forest (RF) model stands out as a versatile and robust algorithm that can enhance predictive performance across a wide range of datasets. Here’s why incorporating RF into your data science toolkit can be a game-changer. Random Forests debunk the myth
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Let’s explain the difference between Data Vs Information Vs Knowledge by using an example of Baking Cookies. Data: This is all the ingredients listed in your cookie recipe. It might include 1 cup of flour, ½ cup of sugar, 1 egg, and so on. This is just a list of separate things, not really telling
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