What skills are required for career success after learning TensorFlow?

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    Answered by

    Vidhi Jain | Contributor-Level 10

    2 months ago

    You can find the list of some important technical and soft skills needed for career success after learning about the TensorFlow library here:

    Technical Skills

    Non-Technical Skills

    Strong Programming Knowledge

    Analytical Thinking

    Machine Learning & Deep Learning Fundamentals

    Problem-Solving

    Data Handling & Preprocessing

    Attention to Detail

    Knowledge of libraries like Keras

    Collaboration & Teamwork

    Model Training and Evaluation

    Project Management

    Familiarity with Cloud Services

    Excellent Communication

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