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 HomePage:
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