Key Takeaways Books help explain ML in depth, better than short tutorials.The right book depends on goals—coding, theory, or ...

These books cover the fundamentals of deep learning and provide practical examples to help readers get started. Which Python ... machine learning tasks, such as data preprocessing, model training ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

In February, the Ministry of Digital Transformation of Ukraine announced launch of the WINWIN AI Center of Excellence — a ...

Reading feels like learning. But unless you can recreate the idea from scratch, you might just be fooling yourself. Here's ...

JFrog uses its Xray component to scan containerised NVIDIA AI models, including NIM containers, for known vulnerabilities, ...

Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...

In an increasingly digitized and connected environment, the demand for computer programmers continues to grow and so does the need for training to ...

What is this book about ... to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal ...

The job market is undergoing a transformation in 2025, with the evolutions of previous years accelerated by significant ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...