What operating system and configuration do you use on your local computer?

The choice of operating system and local computer configuration for machine learning tasks depends on the project requirements and the tools used.

Common choices include:

• Operating System: Linux (e.g., Ubuntu) — due to better support for ML tools, ease of working with packages and GPU drivers.
• Processor: Multi-core CPU with high clock speed for fast data processing.
• Graphics Processor (GPU): NVIDIA with CUDA support for accelerating neural network training.
• RAM: 16-32 GB or more for working with large datasets.
• Storage: SSD for fast data and model loading.

For example, a configuration might look like:

• Ubuntu 22.04 LTS
• Intel Core i7 or AMD Ryzen 7
• NVIDIA RTX 3060 with CUDA
• 32 GB RAM
• 1 TB SSD

Such a setup ensures comfortable work with ML frameworks (TensorFlow, PyTorch), processing large data, and training models.