What do you do if you receive critical feedback in your Machine Learning career?
Navigating critical feedback in your career can be a challenging yet invaluable experience, especially in a field as complex and rapidly evolving as Machine Learning (ML). When you receive critical feedback, it's natural to feel defensive or discouraged, but it's crucial to remember that feedback is a cornerstone of growth and improvement. By approaching criticism with an open mind, you can extract actionable insights that may significantly enhance your ML models and algorithms.
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Srivatsa S.Artificial Intelligence | Hyperautomation | Consulting | IIM Calcutta
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SUNNY SINGH10X LINKEDIN TOP VOICE || FORMER DATA SCIENCE TRAINEE (INEURON.AI) || EX-SME OF CSE(CHEGG) || CHANDIGARH UNIVERSITY…
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Jamie Crossman-SmithAI, Data, & Digital Transformation Leader | Ex-Grant Thornton MD | Data Science and Internal Audit Expert | Visiting…