data science

CS计算机代考程序代写 data science ECS708P mini-project submission¶

ECS708P mini-project submission¶ The mini-project consists of two components: 1. Basic solution [6 marks]: Using the MLEnd dataset, build a model that predicts the intonation of a short audio segment. 2. Advanced solution [10 marks]: There are two options. (i) Formulate a machine learning problem that can be attempted using the MLEnd dataset and build […]

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CS计算机代考程序代写 data mining Excel SQL data science Hive DSC201/401 Lecture Spring 2021

DSC201/401 Lecture Spring 2021 Statistical Analysis System (SAS) Instructor: Will DiGrazio, MS, MBA What is SAS • SAS is a collection of modules that are used to process and analyze data • SAS began in the late 60’s and early 70’s as a statistical package (the name SAS originally stood for Statistical Analysis System) •

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CS计算机代考程序代写 algorithm data science data structure DSCC 201/401

DSCC 201/401 Tools and Infrastructure for Data Science March 15, 2021 • Brief history and overview • R interfaces • Language syntax and examples • Useful libraries R 2 Objects in R • Scalars and Characters
 1 • Vectors
 • Matrices
 c(1,2,3) matrix(c(1,2,3,4,5,6),nrow=2,ncol=3) list(1,2,3,”hello”,sqrt) • Data Frames (“table” or “heterogeneous matrix”) • Factors (“categorical data”)

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CS计算机代考程序代写 algorithm decision tree data science DSCC 201/401

DSCC 201/401 Tools and Infrastructure for Data Science March 15, 2021 • Brief history and overview • R interfaces • Language syntax and examples • Useful libraries R 2 Data Pre-Processing • One of the most essential functions before data analysis can be performed • Data pre-processing can be categorized into 4 main operations: •

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CS计算机代考程序代写 algorithm data science data structure DSCC 201/401

DSCC 201/401 Tools and Infrastructure for Data Science March 10, 2021 • Brief history and overview • R interfaces • Language syntax and examples • Useful libraries R 2 Objects in R • Scalars and Characters
 1 • Vectors
 • Matrices
 c(1,2,3) matrix(c(1,2,3,4,5,6),nrow=2,ncol=3) list(1,2,3,”hello”,sqrt) • Data Frames (“table” or “heterogeneous matrix”) • Factors (“categorical data”)

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CS计算机代考程序代写 gui android Hive IOS interpreter data science Excel DSCC 201/401

DSCC 201/401 Tools and Infrastructure for Data Science March 8, 2021 • Brief history and overview • R interfaces • Language syntax and examples • Useful libraries R 2 What is R? • Statistical programming language based on the S programming language • Created as a “free” version of S (Unix vs. Linux) in 1990s

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CS计算机代考程序代写 compiler Hive cuda cache GPU data science DSCC 201/401

DSCC 201/401 Tools and Infrastructure for Data Science March 1, 2021 Parallel Programming Models • Embarrassingly Parallel • Shared Memory • Pthreads • OpenMP • Message Passing – MPI • Accelerator Computing – CUDA 2 Shared Memory • Common physical memory that can be accessed by all processors • Single address space that is globally

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CS计算机代考程序代写 compiler algorithm cuda cache GPU data science DSCC 201/401

DSCC 201/401 Tools and Infrastructure for Data Science February 24, 2021 Review of Hardware Definitions • Storage – permanent data storage (hard drive or solid state drive), does not go away when system is powered off • Memory – usually refers to RAM (random access memory), data goes away when system is powered off (volatile)

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CS计算机代考程序代写 data science Hive file system DSCC 201/401

DSCC 201/401 Tools and Infrastructure for Data Science February 17, 2021 ssh web browser BlueHive Resource Allocation bluehive terminal session on bluehive default FastX server interactive interactive FastX node (1 core, 2GB) Slurm Server compute node 
 (with requested resources) Linux File System Hierarchy Tree Structure 3 Navigating the Tree – Linux File Commands •

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