Machine learning apps use Python’s memory-managed constructions more for the sake of organizing an application’s logic or data flow than for performing actual computation work.

Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset For this example, we will be using the Jupyter Notebook to train a machine learning algorithm with the classic Iris ...

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 ...

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Explain Like I’m 5 A Python package called Explain Like I’m 5 (ELI5) seeks to give clear justifications for machine learning models.

The book “ Introduction to Machine Learning with Python “ present detailed practice exercises for offering a comprehensive introduction to machine learning techniques along with basics of Python.

Blue River Technology is using the Python-based machine-learning framework to develop smarter crop-spraying tech.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.