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 ...

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.

Machine learning apps use Python’s memory-managed constructions more for the sake of organizing an application’s logic or data flow than for performing actual computation work.

Teaching yourself Python machine learning can be a daunting task if you don’t know where to start. Fortunately, there are plenty of good introductory books and online courses that teach you the ...

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

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.

Too many false negatives, and you’ll soon be out of business. Machine learning makes it possible to analyze someone’s purchase history and determine whether a purchase is likely to be good or bad.

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

With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for ...