13 papers · ranked by Valyu relevance
Sebastian Bassi, Fran Lewitter
This article introduces the world of the Python computer language. It is assumed that readers have some previous programming experience in at least one computer language and are familiar with basic concepts such as data types, flow control, and functions. Python can be used to solve several problems that research…
Daniel Alabi, Joseph Ekpenyong, Alida Monaco
The NaijaCoder in-person summer camps are intensive programs for high school and pre-college students in Nigeria. The programs are meant to provide free instruction on the basics of algorithms and computer programming. In 2024, the camps were held in two locations within the country: (i) the Federal Capital Territory…
Berk Ekmekci, Charles E. McAnany, Cameron Mura, Francis Ouellette
Computing has revolutionized the biological sciences over the past several decades, such that virtually all contemporary research in molecular biology, biochemistry, and other biosciences utilizes computer programs. The computational advances have come on many fronts, spurred by fundamental developments in hardware…
Berk Ekmekci, Charles E. McAnany, Cameron Mura
Computing has revolutionized the biological sciences over the past several decades, such that virtually all contemporary research in molecular biology, biochemistry, and other biosciences utilizes computer programs. The computational advances have come on many fronts, spurred by fundamental developments in hardware…
Ian Stewart, Katherine A. Keith
Many scientific fields—including biology, health, education, and the social sciences—use machine learning (ML) to help them analyze data at an unprecedented scale. However, ML researchers who develop advanced methods rarely provide detailed tutorials showing how to apply these methods. Existing tutorials are often…
Heyuan Zeng, Jinbiao Zhang, Gabriel A. Preising, Tobias Rubel + 2 more
'Pramesh Singh' 'Anna Ritz'] Networks have been an excellent framework for modeling complex biological information, but the methodological details of network-based tools are often described for a technical audience. We have developed GRAPHERY, an interactive tutorial webserver that illustrates foundational graph…
Stephen Coshatt, He Yang, Shushan Wu, Jin Ye + 5 more
As machine learning and artificial intelligence are being integrated into cyber-physical systems, it is becoming important for engineers to know and understand these topics. In particular, sensor data is on the rise in these systems and therefore engineers need to understand which models are appropriate to time-series…
Laura Mickes, Travis M. Seale-Carlisle, Xueqing Chen, Stewart Boogert
'Stewart Boogert'] pyWitness is a python toolkit for recognition memory experiments, with a focus on eyewitness identification (ID) data analysis and model fitting. The current practice is for researchers to use different statistical packages to analyze a single dataset. pyWitness streamlines the process. In addition…
Odd Petter Sand, Elise Lockwood, Marcos D. Caballero, Knut Mørken
We present here the lessons learned by iteratively designing a tutorial for first-year university students using computer programming to work with mathematical models. Alternating between design and implementation, we used video-taped task interviews and classroom observations to ensure that the design promoted student…
Thomas Bartz–Beielstein
The goal of hyperparameter tuning (or hyperparameter optimization) is to optimize the hyperparameters to improve the performance of the machine or deep learning model. spotPython ("Sequential Parameter Optimization Toolbox in Python") is the Python version of the well-known hyperparameter tuner SPOT, which has been…
Rohitash Chandra, Royce Chen, Joshua A. Simmons
Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain Monte-Carlo (MCMC) sampling methods are used to implement Bayesian inference. In the past three decades, MCMC sampling methods have…
Pattara Leelaprute, Bodin Chinthanet, Supatsara Wattanakriengkrai, Raula Gaikovina Kula + 2 more
'Raula Gaikovina Kula' 'Pongchai Jaisri' 'Takashi Ishio'] In the field of data science, and for academics in general, the Python programming language is a popular choice, mainly because of its libraries for storing, manipulating, and gaining insight from data. Evidence includes the versatile set of machine learning…
Hsuan-Ta Lin, Po-Ming Lee, Tzu-Chien Hsiao
Tutorial tactics are policies for an Intelligent Tutoring System (ITS) to decide the next action when there are multiple actions available. Recent research has demonstrated that when the learning contents were controlled so as to be the same, different tutorial tactics would make difference in students' learning gains.…