What you’ll learn
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Basics of Human Brain & Artificial Neural Network – Biological Neurons & Artificial Neurons
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Difference between Artificial Intelligence, Machine Learning & Deep Learning
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3 Machine Learning Techniques – Supervised Learning, Unsupervised Learning, Reinforcement Learning with examples
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Learn how to train, evaluate and optimize a Machine Learning model
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Day in a life of an AI/ML Engineer
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ML Model Evaluation Method – Confusion Matrix, Error, Recall, Precision, Accuracy
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ML Model Optimization Method – Learning Rate, Epoch, Batch Size
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ML Model Training – Using Open-Source Tools
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Hands-On Project 1 – Build a Machine Learning model using Healthcare Dataset
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Hands-On Project 2 – Build a Machine Learning model using Agriculture Dataset
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