Practical Data Science with R Book PDF Full Free 2022.

 Practical Data Science with R  Book PDF Full Free 2022.

Description:

The course Data Science for Artificial Intelligence presents the essential concepts for collecting data from different sources, storing them, performing pretreatments on these data, visualizing them, analyzing them, and to develop predictive models. 

This course is aimed primarily at professionals with an interest in data science and artificial intelligence, graduates and students of college technical programs with basic knowledge in mathematics and programming. 

This course will also be of great use to anyone interested in learning Artificial Intelligence and data science. 

Through its practical content, this course will allow you to have a first experience in data science and Artificial Intelligence, more specifically in machine learning. 

At the end of this course you will be able to develop python scripts, apply data collection techniques, understand and explain the essential concepts of data science for Artificial Intelligence, to practice the basic techniques used in the process of developing a prediction model and to apply supervised and non-supervised learning algorithms. 

We estimate that it takes approximately 8 weeks to complete this course. It is divided into relevant sections that you can follow at your own pace. Summary quizzes are provided at the end of each section to help you assess your understanding of the content.

You will also be able to carry out practical exercises that will allow you to familiarize yourself with the main techniques of data science used in Artificial Intelligence.

Solutions for practical exercises are also available to help you validate your answers. This course is offered by the Collège de Bois-de-Boulogne, in collaboration with the Université de Montréal. 

The content was developed by experts in the field of data science and artificial intelligence for continuing education at the Collège de Bois-de-Boulogne.

Language R:

The Bois-de-Boulogne College (and its Continuing Education) has for many years been known for the quality of its teaching, the diversity of its offer and the map of its training programs recognized by employers, which makes it one of the best francophone colleges in Quebec. Whether you choose this course as an individual or from a career perspective in science, the starting point is here. The material covered will allow you to prepare yourself before starting a program of studies in data science, Artificial Intelligence or any other study related to the data.

R :

is a programming language and free software for statistics and data science supported by the R Foundation for Statistical Computing. It is part of the GNU3 package list and is written in C, Fortran and R. R is free software distributed under the terms of the GNU GPL license. The official site provides binaries for Linux, Windows and macOS, and ports exist for other operating systems.

The R language :

is widely used by statisticians, data miners, data scientists for the development of statistical software and data analysis. In January 2022, R is ranked 12th in the TIOBE index which measures the popularity of programming languages. Interfaces: R with the RStudio integrated development environment. RStudio is an integrated development environment that allows you to work in R, develop new libraries and work with notebooks. R also exists on Emacs (Emacs Speaks Statistics). Jupyter is a web application for developing notebooks in Python, Julia or R. R features are accessible from other languages like Python, Perl, Ruby, Julia. The R language has been integrated into some RDBMS such as SQL Server since version 2016.

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