Python广泛应用于机器学习, 人工智能和统计数据分析等课程. 它也被很多大学作为入门语言来教授. 目前是我们代写最多的编程语言.
Shells Bash shell: practical uses for your systems skills Activity CSCI2467: Systems Programming Concepts Class activity: bash shell literacy Instructor: Matthew Toups Spring 2019 Shells Bash shell: practical uses for your systems skills Activity Today 1 Shells History Usage Scripts vs. Programs 2 Bash shell: practical uses for your systems skills Computing your score so […]
Instructions : • Attempt all questions. CSE 152 Assignment 3 Winter 2019 Due Thu, Mar 14, 5pm PST • Please comment all your code adequately. • In this assignment, you are required to use iPython notebook (https://jupyter.org/) to run your code. • You may use the ieng6 cluster to obtain GPU resources (instructions on Piazza).
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Homework 6 1. Given n scalar measurements {x1 , x2 , . . . , xN }, you can estimate the mean using the formula 1 N x ̄=N xi i=1 and the standard deviation using the formula: 1 N ( x i − x ̄ ) 2 One of the more puzzling aspects
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DSC 450: Database Processing for Large-Scale Analytics Assignment 4 Due Wednesday, March 13th 11PM. Part 1. Python (15 points) We are going to work with a small extract of tweets (about 200 of them), available on D2L as Tweet1_Assignment4.txt Create a SQL table to contain the following few attributes of a tweet: “created_at”, “id_str”, “text”,
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Inf2B Coursework 2 Submission due: 4pm, Friday 5th April 2019 Hiroshi Shimodaira and JinHong Lu 1 Outline (Ver. 1.0) The coursework consists of two tasks, Task 1 – PCA and clustering, Task 2 – classification with K-NN and Bayes classification with Gaussian distributions, in which we use a data set of handwritten characters (digits). You
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1. Requirement and Description Language and Platform: Python (version 3.5 or above) and Tensorflow (newest version). You may use any libraries available on Python platform, such as numpy, scikit-learn, panda, etc. You may also need to install OpenAI universe (https://github.com/openai/ universe). Game environment: You can use any game in OpenAI universe. Learning Task: You need
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Homework for EN 553.753 Commodity Markets and Trade Finance Part I: Energy First Half of Spring 2019 Term ⃝c 2019 Gary L. Schultz, PhD March 2, 2019 Homework #3: Simulating Gas Curves with Application to Risk Metrics 45 points. Due Friday, March 15. This homework builds upon the prior homework problem that had you construct
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GraphRats 15-418/618, Spring 2019 Assignment 4 GraphRats: MPI Edition 1 Overview Assigned: Due: Last day to handin: Wed., March 6 Wed., Mar. 27, 11:59 pm Sat., Mar. 30 Before you begin, please take the time to review the course policy on academic integrity at: http://www.cs.cmu.edu/ ̃418/academicintegrity.html Download the Assignment 4 starter code from the course
Homework 1: Recommender systems Published Date: March 7, 2019 Due Date: March 22, 2019 @11:59pm Description: ************************************************ This is an individual assignment. ************************************************ Overview and Assignment Goals: The objectives of this assignment are the following: ▪ Use Apache Spark to build a Recommender system and predict ▪ Experiment with various similarity measures ▪ Explore hybrid
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CISC 6745 Computer Visualization Spring 2019 Take-Home Mid Term Several of the students in the class approached me and asked me whether a take-home Mid-term is possible considering the facts 1)that we had two consecutive weeks with no class meetings due to President’s day and the snow storm on Feb 12, 2019. 2) A take-home