Data scientists commonly use tools such as Jupyter notebooks, SQL, and visualization libraries. ML engineers work with TensorFlow, PyTorch, Docker, Kubernetes, and scalable cloud infrastructure. Women engineers can benefit from participating in tech communities and workshops focused on these technologies to build confidence and expertise.
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