Women in STEM are advancing in data science and AI by pursuing degrees, joining networks like WiML, continuously learning, gaining practical experience, focusing on soft skills, participating in competitions, seeking mentorship, advocating for diversity, taking leadership roles, and publishing research to foster growth and visibility in the field.
Women in STEM are advancing in data science and AI by pursuing degrees, joining networks like WiML, continuously learning, gaining practical experience, focusing on soft skills, participating in competitions, seeking mentorship, advocating for diversity, taking leadership roles, and publishing research to foster growth and visibility in the field.
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