Video Training → Altair Hypermesh Learn Meshing And Linear Static Analysis

Published by: voska89 on 24-07-2022, 10:27 | 0

Last updated 5/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.93 GB | Duration: 19h 0m
Learn meshing with hypermesh and perform linear static analysis with optistruct

Video Training → 2021 Ultimate Linear Algebra Crash Course

Published by: voska89 on 8-07-2022, 05:10 | 0

Last updated 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 139.05 MB | Duration: 0h 32m

Video Training → Linear Integrated Circuits And Applications For All Levels

Published by: voska89 on 5-07-2022, 07:27 | 0

Last updated 2/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.26 GB | Duration: 7h 6m
Applications of Operational Amplifiers, Analog Multiplier and Timer.

Video Training → Operational Amplifiers Linear Integrated Circuits (2022)

Published by: voska89 on 20-06-2022, 21:32 | 0

Video Training → Udemy - Practical Linear Algebra

Published by: voska89 on 10-06-2022, 16:18 | 0

Video Training → Udemy - Linear Algebra II

Published by: voska89 on 10-06-2022, 16:18 | 0

Video Training → Linkedin Learning - NumPy Essential Training 2 MatPlotlib and Linear Algebra Capabilities

Published by: Minhchick on 23-03-2022, 17:18 | 0

Linkedin Learning - NumPy Essential Training 2 MatPlotlib and Linear Algebra Capabilities-XQZT
English | Size: 186.53 MB
Category: Tutorial

NumPy provides the numerical backend for nearly every scientific or technical library for Python.

Video Training → Skillshare - Data Analysis - What is Linear Regression ?

Published by: voska89 on 8-03-2022, 10:30 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 472 MB | Duration: 1h 26m
An easy introduction to Regression in Data Analysis

Video Training → NumPy Essential Training - 2 MatDescriptionlib and Linear Algebra Capabilities

Published by: voska89 on 4-03-2022, 21:08 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 12m | Size: 191.6 MB
NumPy provides the numerical backend for nearly every scientific or technical library for Python. Many advanced data science and machine learning libraries require data to be in the form of NumPy arrays before it can be processed. In this course, instructor Terezija Semenski gives you a closer look at advanced features in NumPy and MatDescriptionlib. MatDescriptionlib is the most popular library for Descriptionting with NumPy. Terezija steps you through the basics of Descriptionting functions and implementing figures with MatDescriptionlib, then goes over advanced commands and Descriptions. She introduces universal functions in NumPy, as well as strides, structure arrays, dates, and times. Terezija also covers basic linear algebra capabilities that you can apply in NumPy, including decomposition, polynomial mathematics, and linear regression