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 ...

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 ...

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 ...

Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...

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

Among contributors to repositories tagged with the “machine-learning” topic, Python is the most common language. That’s not surprising — it’s the third-most used language on GitHub overall.

Figure 1. Popularity of machine learning languages (January 2019) In this article, you’ll learn why Python is especially successful for machine learning and other uses involving data science.

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

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for ...

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.