Check out these 10 books that can help data scientists and aspiring data scientists learn machine learning today.

Machine Learning is part of a encyclopedic known as Artificial Intelligence.

Building and understanding ML models is inherently visual. As opposed to classical software engineering, an ML model has no source code to inspect and debug. Instead we use statistics and visualizations to gain insight and inform our decisions.

The list of the best machine learning & deep learning books for 2020.

Cardiff University analysis uncovers ‘no alcohol’ locations that could be targeted to reduce violent crime…

Machine Learning is a complex technology to comprehend. Check out the top books for learning more about ML in 2020.

You can now train and run Machine Learning models straight from MariaDB using SQL thanks to MindsDB and the CONNECT storage engine.

This is companion wiki of the Machine Learning Engineering by Andriy Burkov. Machine Learning Engineering is the first book on practical aspects of building machine learning systems for production.

As the field of machine learning has become ever more popular, a litany of online courses has emerged claiming to teach the skills necessary to “build a career in AI”. Is that what they do, though?