Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

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 ...

The annual Python Developers Survey shows a programming environment in transition. Data science accounts for more than half ...

Learn why Python has become the go-to programming language for machine learning and deep learning applications ...

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

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

This course will give you an introduction to machine learning using the Python programming language and the TensorFlow TM programming toolkit from Google. No programming background is assumed, however ...

IBM is releasing Qiskit Machine Learning, a new application module that's part of its open source quantum software.