Maya scriptMaya script, also known as Maya glyphs, is historically the native writing system of the Maya civilization of Mesoamerica and is the only Mesoamerican writing system that has been substantially deciphered. The earliest inscriptions found which are identifiably Maya date to the 3rd century BCE in San Bartolo, Guatemala. Maya writing was in continuous use throughout Mesoamerica until the Spanish conquest of the Maya in the 16th and 17th centuries.
Data scienceData science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.
Classic Maya collapseIn archaeology, the classic Maya collapse is the decline of the Classic Maya civilization and the abandonment of Maya cities in the southern Maya lowlands of Mesoamerica between the 7th and 9th centuries. At Ceibal, the Preclassic Maya experienced a similar collapse in the 2nd century. The Classic Period of Mesoamerican chronology is generally defined as the period from 250 to 900 CE, the last century of which is referred to as the Terminal Classic. The Classic Maya collapse is one of the greatest unsolved mysteries in archaeology.
Maya codicesMaya codices (singular codex) are folding books written by the pre-Columbian Maya civilization in Maya hieroglyphic script on Mesoamerican bark paper. The folding books are the products of professional scribes working under the patronage of deities such as the Tonsured Maize God and the Howler Monkey Gods. Most of the codices were destroyed by conquistadors and Catholic priests in the 16th century. The codices have been named for the cities where they eventually settled.
AutoencoderAn autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning). An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation. The autoencoder learns an efficient representation (encoding) for a set of data, typically for dimensionality reduction. Variants exist, aiming to force the learned representations to assume useful properties.
Data and information visualizationData and information visualization (data viz or info viz) is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
Ancient Maya artAncient Maya art is the visual arts of the Maya civilization, an eastern and south-eastern Mesoamerican culture made up of a great number of small kingdoms in present-day Mexico, Guatemala, Belize and Honduras. Many regional artistic traditions existed side by side, usually coinciding with the changing boundaries of Maya polities. This civilization took shape in the course of the later Preclassic Period (from c. 750 BC to 100 BC), when the first cities and monumental architecture started to develop and the hieroglyphic script came into being.
Ancient Maya cuisineAncient Maya cuisine was varied and extensive. Many different types of resources were consumed, including maritime, flora, and faunal material, and food was obtained or produced through strategies such as hunting, foraging, and large-scale agricultural production. Plant domestication concentrated upon several core foods, the most important of which was maize. Much of the ancient Maya food supply was grown in agricultural fields and forest gardens, known as pet kot.
Maya astronomyMaya astronomy is the study of the Moon, planets, Milky Way, Sun, and astronomical phenomena by the Precolumbian Maya Civilization of Mesoamerica. The Classic Maya in particular developed some of the most accurate pre-telescope astronomy in the world, aided by their fully developed writing system and their positional numeral system, both of which are fully indigenous to Mesoamerica.
Variational autoencoderIn machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling. It is part of the families of probabilistic graphical models and variational Bayesian methods. Variational autoencoders are often associated with the autoencoder model because of its architectural affinity, but with significant differences in the goal and mathematical formulation. Variational autoencoders are probabilistic generative models that require neural networks as only a part of their overall structure.
