Machine Learning: How to Build Scalable Machine Learning Models

Your preferred abstraction level can lie anywhere between writing C code with CUDA extensions to using a highly abstracted canned estimator, which lets you do a lot (optimize, train, evaluate) with fewer lines of code but at the cost of less control on implementation. It mostly depends on the complexity and novelty of the solution that you intend to develop.