Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...

Every book on programming has a section in the preface or intro where the authors describe the book’s intended audience. This part is usually titled “prerequisites” or “who should read this book.” If ...

A new edition of a good book on ML is worth a close look. This is the third edition of a book I reviewed in 2018 and thought was quite good, so I was interested to see if it could get better. It was ...

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 basics ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Joe Cassavaugh shares his journey from ...

If you want to learn more about machine learning (ML), books are always a good resource to look at. But what book should you pick up? And what should you pick based on your experience level? You ...

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 ...

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...

Learn about some of the best Python libraries for programming artificial Intelligence, machine learning, and deep learning. A lot of software developers are drawn to Python due to its vast collection ...

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 ...