I will continue to work out of the The Practice Of Statistics 4th edition book and recreate some histograms. I used the data on page 35 in Chapter 1. My students will be getting this lesson this week. After they make their firs histograms, I’ll have them compare the R histogram to th...
statistics & econometrics quantitative finance (e.g., option valuation) quantitative marketing (e.g., customer segmentation) quantitative supply chain management (e.g., forecasting) web development (incl. APIs) Prerequisites To be suitable for beginners, there are no formal prerequisites. It is only...
If you are set on an introduction to programming course in R, we recommend DataCamp’s series of R courses: “Introduction to R,”“Intermediate R,”“Intermediate R – Practice,” and “Writing Functions in R.” Though the latter three come at a price point of $25/month, DataCamp is ...
Inspired by Allen Downey's booksThink StatsandThink Bayes, this is an attempt to learn Statistics using an application-centric programming approach. Objective Showcase real-life examples and what statistics to use in each of those examples. Almost every book teaches a concept and shows an example...
R is both a language and an environment for doing statistics and generating graphs and plots. It is GNU-licensed and a common favorite of Universities and Research institutions. PL/R is a procedural language for PostgreSQL that allows you to write database stored functions in R. R is a set...
To start with R programming language I created a small overview of what are the most important things to learn first. How to start R on Google Colab? It is possible to run R directly onGoogle Colaboratory. This means you don’t need to set the environment on your end, just to start ...
A programming technique A method used in machine learning A software that learns from mistakes Neural Networksare based on how the human brain works: Neurons are sending messages to each other. While the neurons are trying to solve a problem (over and over again), it is strengthening the conn...
The Best Intro to Programming Courses for Data Science The Best Statistics & Probability Courses for Data Science The Best Intro to Data Science Courses (this one) The Best Data Visualization Courses P.S. If you are looking for a complete list of Data Science MOOCs, you can find them on ...
8.7 Real-time Dynamic Programming real-time dynamic programming (RTPG) is an on-policy trajectory-sampling version of the value iteration algorithm of dynamic programming。基本上是上图的algo。 RTDP是一种asynchronous DP。asynchronous DP是用任何顺序update state values,利用任何可以使用的其他state的value。
Good understanding of statistics. Testimonials (3) We had many varying levels of skill in the class which created the need for more thorough explanations at times to ensure understanding. Pace and structure was generally pleasant. Gary Munn - Vodacom ...