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May 24, 2016 · The following entry explains a basic principle of finance, the so-called efficient frontier and thus serves as a gentle introduction into one area of finance: “portfolio theory” using R. A second part will then concentrate on the Capital-Asset-Pricing-Method (CAPM) and its assumptions, implications and drawbacks. Font kurdish sorani
This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data.

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Functions can be function templates and sets of functions can be classes or class templates. Enforcement (Simple) A function should not make control-flow decisions based on the values of variables declared at namespace scope. (Simple) A function should not write to variables declared at namespace scope. I.2: Avoid non-const global variables Reason

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Sep 03, 2015 · Get the code: To follow along, all the code is also available as an iPython notebook on Github. In this post we will implement a simple 3-layer neural network from scratch. We won’t derive all the math that’s required, but I will try to give an intuitive explanation of what we are doing.

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A guide to using mrgsolve. Introduction. Welcome to the mrgsolve user guide. The user guide is the main documentation source for how mrgsolve works and how to best use mrgsolve in your modeling and simulation project.

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It can call a single shell script or execute a single Python function that you define (either within FireWorks, or in an external package). A Firework contains the JSON spec that includes all the information needed to bootstrap your job. For example, the spec contains an array of Firetasks to execute in sequence.

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Jun 15, 2018 · The only, albeit small, downside is that it focuses on teaching the tidyverse, a set of modern R tools. Many people still use base R, which you can learn in other resources. DataCamp’s Intro to R. A good thing about DataCamp is that they have a list of follow-up courses covering data science in R.

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Read the Introduction to R tutorial. Work through the R Basics tutorial to install R and RStudio and (re-)familiarize yourself with the basic functionality of the programming language. Work through the first couple of chapter of the R for Data Science book. Regular Expressions. Read Chapter 14: Strings in the R for Data Science Book.

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Using Swift differentiable programming allows for first-class support in a general-purpose programming language. Take derivatives of functions, and make custom data structures differentiable in an instant. Learn how Swift APIs give you transparent access to all low-level TensorFlow operators.

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Tutorials - Online Data Analysis & Interpretation | DataCamp. DataCamp is the fastest and easiest platform for those getting into data This interactive tutorial by… www.datacamp.com. Kaggle R Tutorial on Machine Learning. It's easy and free to post your thinking on any topic. Write on Medium.

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We recommend refreshing your R and Python knowledge before the course with. DataCamp: Interactive learning Week 1 Lesson 1: Carrying out a scripting project Lesson 2: Introduction to Linux Lesson 3: Intro to functions and refresher on R Assignment of Week 1 Lesson 4: Intro to raster ’ Week 2 Lesson 5: Intro to vector Lesson 6: Vector - Raster

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GitHub Learning Lab takes you through a series of fun and practical projects, sharing helpful feedback along the way. Professional training Whether you’re just getting started or you use GitHub every day, the GitHub Professional Services Team can provide you with the skills your organization needs to work smarter.

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