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• TensorFlow 2x and PyTorch
• Building end-to-end machine learning models , from data preprocessing, normalization, pipelines to model architectures and deployment
• Handling big data
• You'll be able to recognize when to prefer Cloud services and what the advantages are
• Python essentials for deep learning - a useful tutorial on libraries like numpy, pandas
• The mathematics behind world's most powerful algorithms right now and how you'll be able to see right through them when errors occur
• Classification and regression algorithms
• Distinct what algorithms suits a given task
• Intro to Reinforcement Learning

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