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Introduction to Natural Language Processing

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Related lectures (36)

Introduction to NLP and the Course Log in to Mediaspace to watch this video

Covers the basics of Natural Language Processing, including challenges, linguistic processing levels, and the impact of power laws.

Coreference Resolution Log in to Mediaspace to watch this video

Covers coreference resolution, models, applications, challenges, and advancements in natural language processing.

Introduction to Financial Markets and Time Series Log in to Mediaspace to watch this video

Introduces financial markets, time series, machine learning applications in finance, and natural language processing.

Transformer Architecture: Subquadratic Attention Mechanisms Log in to Mediaspace to watch this video

Covers transformer architecture, focusing on encoder-decoder models and subquadratic attention mechanisms for efficient processing of input sequences.

Deep Learning for NLP Log in to Mediaspace to watch this video

Delves into Deep Learning for Natural Language Processing, exploring Neural Word Embeddings, Recurrent Neural Networks, and Attentive Neural Modeling with Transformers.

Transformers: Unifying Machine Learning Communities Log in to Mediaspace to watch this video

Covers the role of Transformers in unifying various machine learning fields.

Deep Learning for NLP Log in to Mediaspace to watch this video

Introduces deep learning concepts for NLP, covering word embeddings, RNNs, and Transformers, emphasizing self-attention and multi-headed attention.

Natural Language Processing: A Primer Log in to Mediaspace to watch this video

Introduces Natural Language Processing (NLP) and its applications, covering tokenization, machine learning, sentiment analysis, and Swiss NLP applications.

Introduction to Natural Language Processing Log in to Mediaspace to watch this video

Introduces the basics of Natural Language Processing, covering challenges, application domains, and linguistic processing levels.

Ethics in NLP Log in to Mediaspace to watch this video

Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.

Words and Tokens: Language Models and Probabilities Log in to Mediaspace to watch this video

Reviews language models, tokenization, and probability estimation in NLP systems.

Transformers: Self-Attention and MLP Log in to Mediaspace to watch this video

Explores transformers, emphasizing self-attention and MLP mechanisms for efficient sequence processing.

Brain Intelligence: Continual Learning of Representational Models Log in to Mediaspace to watch this video

Delves into the continual learning of representational models in brain intelligence, emphasizing rapid adaptation to unstructured environments.

Convolutional Neural Networks: Semantic Segmentation Log in to Mediaspace to watch this video

Explores Convolutional Neural Networks for semantic segmentation, discussing models for pixel classification, learned decoding, and the importance of skip connections.

Convolutional Neural Networks: Training Tricks Log in to Mediaspace to watch this video

Explores convolutional neural networks for image classification, focusing on weight challenges, overfitting prevention strategies, and fine-tuning pre-trained models.

Control Structures; Functions Log in to Mediaspace to watch this video

Covers control structures, loops, and functions in C language, emphasizing the importance of local variables and avoiding global variables.

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