Janani Ravi, Brandon Strain, Chase DeHan | Duration: 21 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 2,45 GB | Language: English
This skill will explore advanced mathematical and statistical models and their implementation in the R language. These modeling approaches are relevant to machine learning and in categorizing algorithms.
What You Will Learn
Implementation of Numerical Methods with R
Understanding Linear Algebra implementation with R
Applying Mathematical mass balance Models( Integration, steady state, least square)
Applying Differential equations problems
Build Linear inverse models with R
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Code:
https://www.pluralsight.com/paths/building-statistical-and-mathematical-models-with-rDOWNLOAD
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