Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Data Dependency: Deep learning requires large amounts of labeled data to perform well. In domains where data is scarce or expensive to obtain, deep learning may not be the best solution.

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science ...