Master the foundations of deep learning and learn how to build and train neural networks for cutting-edge projects in computer vision, NLP, and more.
Gain hands-on experience using the Hugging Face ecosystem to fine-tune and deploy state-of-the-art language models for natural language processing.
Get started with machine learning using Pandas and Scikit-learn to build your first models and learn core concepts like model validation.
Take a hands-on, code-first approach to building and training world-class models for computer vision and NLP using the fastai library and PyTorch.
Learn fundamental and advanced techniques for crafting effective prompts to get superior results from large language models in this comprehensive open-source course.
This comprehensive video covers the fundamentals of machine learning using Python and popular libraries like NumPy, Pandas, and Scikit-learn.
Learn the core theory behind machine learning algorithms and how to implement them in Python in this comprehensive specialization from a Stanford expert.
Learn to build a book recommendation engine using Python and large language models to match books based on their content descriptions.
Learn to build and train powerful neural networks using TensorFlow and gain practical skills to develop models for computer vision, NLP, and time series data.