Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

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In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

The book leverages algorithms of machine learning in a unique way of describing real life applications. Though not mandatory, some experience with subject knowledge will fasten the learning process.

Blue River Technology is using the Python-based machine-learning framework to develop smarter crop-spraying tech. Written by Owen Hughes, Senior Editor Aug. 11, 2020 at 3:12 a.m. PT ...

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New and seasoned data scientists can utilize ELI5 thanks to its simple user interface. 6. Eli5 ELI5 is a Python package that helps to debug machine learning classifiers and explain their predictions.

Triton 1.0 uses Python (3.6 and up) as its base. The developer writes code in Python using Triton’s libraries, which are then JIT-compiled to run on the GPU.

Anaconda Python Anaconda has come to prominence as a major Python distribution, not just for data science and machine learning but for general purpose Python development as well. Anaconda is ...