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COMS 4701 Artificial Intelligence Homework 1: Coding - Search

Columbia UniversityCOMS 4701Artificial IntelligenceSearchBreadth-First SearchDepth-First Search

In this assignment you will create an agent to solve the N-puzzle game. You will implement and compare several search algorithms, and collect some statistics related to their performances.

IEMS 303: Statistics: Kumaraswamy distribution

Northwestern UniversityIEMS 303StatisticsKumaraswamy distribution

The Kumaraswamy distribution is useful for modeling random outcomes on the interval (0,1), such as the fraction of borrowers who default on their loans.

INT303 Big Data Analytics - Final Exam: Question 1: Big Data Conception

INT303Big Data AnalyticsHadoop

What is data science? How does it relate to and differ from statistics

STAT350 Introduction to Statistics Homework1: Bike project

Purdue UniversitySTAT350Introduction to StatisticsBike projectR

This homework assignment is based on a project to study the impact of weather conditions on bike sharing demand, the Bike project.

ST 495 Advanced computing for statistical methods - Homework problem set 5

NC State UniversityNCSUST 495ST495Advanced computing for statistical methodsR

In the previous assignment you were asked to provide pseudocode for how to generate synthetic data from the statistical model posited for your midterm project. The motivation was described as synthetic data will be helpful for evaluating an estimation procedure and algorithm.

STAT605/STAT405 Data Science Computing Project - Homework 2: Lyman-break Galaxies in R

WISCUniversity of Wisconsin-MadisonStatistics 405Statistics 605Data Science Computing ProjectLyman-break Galaxies in R

This homework is a first step in our search for an undiscovered, gravitationally lensed, high-redshift Lyman-break galaxy. It requires you to search through 100 spectra for those that look like cB58, the target Lyman-break galaxy.

STAT605/STAT405 Data Science Computing Project - Homework 3: Distributed Computing via Slurm and the Statistics High Performance Computing (HPC) Cluster

WISCUniversity of Wisconsin-MadisonStatistics 405Statistics 605Data Science Computing ProjectR

Use lunchbox only for editing and running Slurm commands that launch and manage jobs. (Do not run computations on lunchbox, as it cannot handle computations from many people.)

STAT605/STAT405 Data Science Computing Project - Homework 4: Large-scale distributed computing at CHTC

WISCUniversity of Wisconsin-MadisonStatistics 405Statistics 605Data Science Computing ProjectR

This exercise, an expanded version of Homework 2, is a full-scale search using the CHTC (via learn.chtc.wisc.edu) for an undiscovered, gravitationally lensed, high-redshift Lyman-break galaxy.

STAT605/STAT405 Data Science Computing Project - Homework 1: The Emacs Text Editor

WISCUniversity of Wisconsin-MadisonStatistics 405Statistics 605Data Science Computing ProjectR

This homework will give you practice with the emacs text editor. When doing these exercises, please use the commands on the reference sheet at The goal is not just to get the specified tasks done, but rather to do so using the functionality available in emacs, so try to do the tasks elegantly, using the tools provided by the editor.

STATS 326: Applied Time Series Analysis - Assignment 01: Kobe Bryant and Sunspots

University of AucklandSTATS 786Time Series Forecasting for Data ScienceSTATS 326Applied Time Series AnalysisKobe Bryant

The lakers data set (in the lubridate package) contains play-by-play statistics of each Los Angeles Lakers basketball game in the 2008-2009 regular season

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