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 you.

Mastering machine learning is not easy, even if you’re a crack programmer. I’ve seen many people come from a solid background of writing software in different domains (gaming, web, multimedia, etc.) ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ramya Krishnamoorthy shares a detailed case ...

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 ...

Python is a leading choice for programming in areas like machine learning and artificial intelligence, possessing an abundance of libraries and utilities that make it easier for developers to ...

What is it about Python—the language, the ecosystem, the development processes around them—that has made it into such a favorite for data science? Python has long enjoyed growing popularity in many ...

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a collection of ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...