pymc-learn is a library for practical probabilistic machine learning in Python. It provides a variety of state-of-the art probabilistic models for supervised and unsupervised machine learning. It is ...

Fundamentals of machine learning (and introducing the benefits of scikit-learn) Practical implementation with comprehensive examples of canonical machine learning, and supervised and unsupervised ...

In the world of machine learning, Python is a major player and provides a set of powerful libraries for both tasks, TensorFlow and sci-kit-learn. TensorFlow by Google is famous for deep learning, ...

Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written ...

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

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 ...

By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps.

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

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming ...

What are some open-source machine learning libraries for Python? There are many open-source machine learning libraries for Python, including TensorFlow, PyTorch, Scikit-learn, Keras, and Theano.