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Deep learning is a technique-profound neural networks that have made them think like human brains. Dive into architectures: CNNs, RNNs, GANs and make your AI projects revolutionary!
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AI agents learning to maximize cumulative rewards in dynamic environments Perfect for autonomic system applications, game AI, and optimization work.
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Use pre-trained models to solve similar problems. Suite for applying image recognition methods on a new dataset (medical images, for example)
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Ensemble or Blend several models to improve the predictions using boosting, bagging or stacking. Explore XGBoost, Random Forest lookalike and much more!
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Discover methods for interpreting and creating human language, such as transformers such as BERT and GPT, named entity recognition, and text summarization.
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To find structure in unlabeled data Labels are defined by the data they generate. Uncover a novel concept of machine learning that improves data use and productivity.
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Apply Bayes’s theorem for uncertainty in AI predictions Discover tools such as Bayesian neural networks and Gaussian processes to improve your models.