Natural Language Processing with spaCy
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
Uncover AI's challenges and societal implications in this theoretical course. Discover machine learning, deep learning, NLP, generative models & more.
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Learn how to build a model to automatically classify items in a school budget.
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!
Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
Use web scraping and NLP to find the most frequent words in classic literature: Herman Melville's novel, Moby Dick.
Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.