Master hyperparameter tuning techniques to optimize machine learning models using grid search, Bayesian optimization, and automated tools like Keras Tuner. Learn practical implementation in Python, R, and MATLAB through courses on Coursera, DataCamp, and YouTube, covering neural networks, reinforcement learning, and NLP applications.
Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects
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