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数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
INT303 Big Data Analytics - Final Exam: Question 1: Big Data Conception
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
What is data science? How does it relate to and differ from statistics
STAT350 Introduction to Statistics Homework1: Bike project
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
This homework assignment is based on a project to study the impact of weather conditions on bike sharing demand, the Bike project.
STAT605/STAT405 Data Science Computing Project - Homework 2: Lyman-break Galaxies in R
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
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
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
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
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
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
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
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.
LAB 1 - Install Latex Distribution and Absenteeism at Work
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
One of the goals of this lab is that you make sure you can create interactive document files (Rmd) and convert them to pdf, as well as html format. In order to be able to write mathematical text, you would need Latex, wich RStudio uses to produce such text in pdf files.
HW6: Efficiency and Big-O Analysis
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
To get a better understanding of how to calculate the efficiency of algorithms—developing both your ability to work through calculations mathematically and your intuitive sense of estimating big-O.
COMP36212 Mathematical Systems and Computation - EX1 Testing and Applications of Stochastic Rounding
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
Most processors which include floating-point (FP) arithmetic provide support for all the rounding modes required by the IEEE 754 standard [4]. The default rounding mode is most commonly round-to-nearest ties-to-even (RN), which rounds all the values to the nearest FP number.
COMP9417 - Machine Learning Homework 0: Revision - Calculus, Probability, Linear Algebra
数学MathematicsStochastic OptimisationStochastic ProcessStochastic SearchMathematicalProbabilityStatisticsNumerical MethodLinear algebra
The goal of this homework is to review some important mathematical concepts that are used regularly in machine learning, and which are assumed knowledge for the course.
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