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 ...

Machine learning is a vast field with many different specialties, so it’s quite easy for a beginner to get overwhelmed. For instance, one specialty called deep learning powers many of today’s ...

Python is used to power platforms, perform data analysis, and run their machine learning models. Get started with Python for technical SEO.

What Is Machine Learning? Before doing anything else, let’s define the terms: “machine learning” sounds somewhat ominous, leading to a Matrix-like world in which the machines have taken over. But ...

Getting your developers started with machine learning is simpler than you think, so long as you start with a simple, well-defined problem.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.

Caffe, CNTK, DeepLearning4j, Keras, MXNet, and TensorFlow are deep learning frameworks. Scikit-learn and Spark MLlib are machine learning frameworks. Theano straddles both categories.

But these more basic machine learning algorithms work well enough for many applications, making the additional complexity of deep learning models often superfluous.