Machine Learning Pro

Expert-level orchestration of advanced Machine Learning and Deep Learning models. Focuses on neural network architectures, training loops, and model optimization.

Boundary

machine-learning-pro covers Deep Learning frameworks (PyTorch, TensorFlow, JAX), Model Architectures (Transformers, CNNs), Fine-tuning (LoRA, QLoRA), Natural Language Processing (NLP), and Computer Vision (CV). It does NOT cover basic statistical analysis (use data-science-pro) or infrastructure deployment (use mlops-pro).

When to use

• Designing and training a custom neural network using PyTorch.
• Fine-tuning a pre-trained Large Language Model (LLM) on custom data.
• Implementing an image classification or object detection pipeline.
• Optimizing a deep learning model for inference speed (Quantization, Pruning).

Workflow