Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled […]
This is part 1 of a 5-part series of workshops on programming in R. This week, we’ll discuss the following topics: creation and naming of objects, R’s global environment, arithmetic […]
Mobile app development is one of the biggest new industries of the last decade. As of 2017, Google and Apple (the creators of Android and iOS, respectively) confirmed a combined […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled […]
OVERVIEW Python has become a very popular programming language and software ecosystem for work in Data Science, integrating support for data access, data processing, modeling, machine learning, and visualization. In […]
This is part 2 of a 5-part workshop series on programming in R. This week, we’ll discuss the following topics: vectors, types, lists, and data frames. You’ll learn about indexing […]
Mobile app development is one of the biggest new industries of the last decade. If you are developing an Android app for the first time, the first option you will […]
Like many image processing problems, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project, and it offers […]
This is part 3 of a 5-part workshop series on programming in R. This week, we’ll discuss the following programming tools: logical comparisons, conditionals, iteration, and functions. You’ll learn how […]