How to Version Control Your Machine Learning? – A Look into Data Version Control (DVC)

If you have spent time working with Machine Learning, one thing is clear: it’s an iterative process. Machine learning is about rapid experimentation and iteration, each experiment consists of different parts: the data you use, hyperparameters, learning algorithm, architecture, and the optimal combination of all of those Throughout this iterative process, your accuracy on your dataset will vary accordingly, and without keeping track of your experimenting history you won’t be able to learn much. Versioning lets you keep track of all of your experiments and their different components. How to Version Control ML Projects? One of the most popular ways … Continue reading How to Version Control Your Machine Learning? – A Look into Data Version Control (DVC)