Books give you an overview of theory, but it’s also important to implement and play with some practical machine learning systems. Udacity and Coursera usually have high quality courses with ...

Machine learning is a powerful tool, and like any tool, you’ll only get the most from it if you know precisely how to use it. This library of ten books opens the door to practical machine ...

On the one hand, the depth that Practical Statistics for Data Scientists brings to each of these topics is greater than you’ll find in machine learning books.

This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It ...

The book Python Machine Learning, second edition by Sebastian Raschka and Vahid Mirjalili, is a tutorial to a broad range of machine learning applications with Python. It provides a practical introduc ...

In practical terms, this means that your machine learning software should integrate with popular Hadoop and cloud formats, and it should export predictive models as code that you can deploy ...

In an era when data drives decisions, mastering machine learning has become essential across industries and academia. From making better business decisions to developing advanced materials, machine ...

Syllabus: SUM401N_Practical_Machine_Learning [PDF 95KB] Machine learning influences modern life in many different avenues and is silently revolutionising the way we live and work. We can see the ...