MDPs: Markov Decision Processes Decision Making Under Uncertainty using POMDPsjl
3.0
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This course introduces Markov Decision Processes (MDPs) and Decision Making Under Uncertainty using POMDPs.jl. It covers topics such as MDP definition, Grid World environment, state and action spaces, transition and reward functions, discount factor, QuickPOMDPs, MDP and RL solvers, and a Pluto notebook. Students will gain an understanding of how to use MDPs to make decisions under uncertainty.
Data Wrangling Techniques in Julia - Part 1 Tom Kwong
2.5
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Data wrangling is the process of transforming raw data into a usable format for analysis. Tom Kwong's course, Data Wrangling Techniques in Julia - Part 1, covers the Julia data ecosystem and the five-step workflow of data wrangling: reading, cleaning, tidying, analyzing, and visualizing. Through this course, participants will gain the skills to effectively wrangle data in Julia.
Data Wrangling Techniques in Julia - Part 2 Tom Kwong
3.0
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This video, presented by Tom Kwong, is the second part of a series on data wrangling techniques in Julia. It covers two data sets: the Washington state youth suicide data set and the TIPS yield curve and inflation compensation data set. Tom provides helpful tips and techniques for working with these data sets, and encourages viewers to contribute to the accompanying GitHub repo.
Julia: Getting Started
2.5
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This course provides an introduction to the Julia programming language, covering the fundamentals needed to begin developing applications for Data Science, scientific domains, data visualization, parallel computing, and more.
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