Professional Certificate in Neural Networks for Predictive Analysis
-- ViewingNowThe Professional Certificate in Neural Networks for Predictive Analysis is a comprehensive course that equips learners with essential skills in neural networks, a crucial aspect of artificial intelligence. This program emphasizes the importance of predictive analysis in making data-driven decisions, a highly sought-after skill in today's data-centric world.
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โข Introduction to Neural Networks – Basics of neural networks, architecture, and components.
โข Data Preprocessing – Data cleaning, normalization, and transformation techniques.
โข Activation Functions – Sigmoid, ReLU, Tanh, and other activation functions.
โข Backpropagation – Derivation, algorithm, and optimization techniques.
โข Convolutional Neural Networks (CNNs) – Designing, training, and implementing CNNs.
โข Recurrent Neural Networks (RNNs) – Introduction to RNNs, LSTMs, GRUs, and sequence prediction.
โข Regularization Techniques – Dropout, L1, and L2 regularization.
โข Transfer Learning and Fine-tuning – Using pre-trained models and fine-tuning for specific tasks.
โข Evaluation Metrics – Accuracy, precision, recall, F1 score, ROC, and AUC evaluation methods.
โข Real-world Applications – Implementing neural networks for predictive analysis in various industries.
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