Model Finetuning for NLI

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Related lectures (31)

Decision Trees: Classification Log in to Mediaspace to watch this video

Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.

Enterprise and Service-Oriented Architecture Log in to Mediaspace to watch this video

Discusses solutions for business/IT alignment and the importance of updating business to IT models.

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.

Introduction to Machine Learning: Course Overview and Basics Log in to Mediaspace to watch this video

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Introduction to Renku Log in to Mediaspace to watch this video

Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.

Deep Learning: Designing Neural Network Models Log in to Mediaspace to watch this video

Covers the design and optimization of neural network models in deep learning.

Machine Learning: Supervised and Unsupervised Learning Techniques Log in to Mediaspace to watch this video

Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.

Data Science for Engineers: Part 2 Log in to Mediaspace to watch this video

Explores data manipulation, exploration, and visualization in data science projects using Python.

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.

Unsupervised Learning: Clustering & Dimensionality Reduction Log in to Mediaspace to watch this video

Introduces unsupervised learning through clustering with K-means and dimensionality reduction using PCA, along with practical examples.

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.

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