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How important is proficiency in machine learning and AI for a lead engineer in data science, and where can I acquire knowledge in these areas?

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Mastering machine learning and AI is vital for a lead engineer in data science. Understanding algorithms, statistical models, and data processing techniques is key. Learn through online tutorials,  books, and certification programs. Engage in real-world projects and seek mentorship from experienced professionals. Explore coding challenges and participate in the data science community to refine your skills. Practical experience and continuous learning will equip you for the complexities of leading data science initiatives.

If you wish to get into this field, then don’t forget to check out the Raghuraman’s video. How  he  was promoted to a Lead Engineer role with a good salary hike just after completing Intellipaat's Advanced Certification in Data Science and AI.

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