Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

Deep Learning is a hot topic in statistical learning and many data scientists are seeking a place to start. Here is a presentation from the July 23rd SF Machine Learning Meetup at the Workday Inc. San ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Deep learning has revolutionized the field of natural language processing and led to many state-of-the-art results. This course introduces students to neural network models and training algorithms ...

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...

The presentation below, “Deep Learning for Language Understanding,” took place at the Deep Learning Summit in San Francisco on 29-30 January 2015. The featured speaker is Quoc Le, Research Scientist ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

They cover key skills such as Python, SQL, statistics, machine learning, deep learning, data engineering, MLOps and ...

A new study finds that artificial intelligence systems that are designed with a biologically inspired architecture can ...

In the world of data science, there are three core problems: acquiring data, doing the math and taking action. Two of those drive data scientists crazy; the other one they find easy. “Doing the math” ...