Courses tagged with "Basic Genetics" (51)
Learn various methods of analysis including: unsupervised clustering, gene-set enrichment analyses, Bayesian integration, network visualization, and supervised machine learning applications to LINCS data and other relevant Big Data from high content molecular and phenotype profiling of human cells.
Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.
This course delivers a systematic overview of computer vision, emphasizing two key issues in modeling vision: space and meaning. We will study the fundamental theories and important algorithms of computer vision together, starting from the analysis of 2D images, and culminating in the holistic understanding of a 3D scene.
El curso ofrece la oportunidad de aprender las principales técnicas de visión por computador que permiten detectar y reconocer objetos en una imagen. Está orientado a estudiantes interesados en adquirir el conocimiento necesario para el desarrollo de aplicaciones reales de detección y reconocimiento de objetos.
We will present the state of the art energy minimization algorithms that are used to perform inference in modern artificial vision models: that is, efficient methods for obtaining the most likely interpretation of a given visual input. We will also cover the popular max-margin framework for estimating the model parameters using inference.
Emotions are the backbone of social activities as well as they drive the cognitive processes of several living entities. This course tries to elucidate the controversial nature of emotions and their evolutionary meaning. Several animals, including humans, have emotions but…what about machines? This is a course to feel and think about.
Learn how to make effective decisions about your future career and how to take control of your professional development by honing your critical thinking and employability skills. Suitable for anyone undertaking some form of study, regardless of academic discipline, interests or employment background.
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