Video Training → Mathematical Intuition Behind Differential Forms
Published by: voska89 on 12-12-2023, 13:34 | 
0
Free Download Mathematical Intuition Behind Differential Forms
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.51 GB | Duration: 4h 15m
Learn differential forms, wedge products, exterior derivatives, the Generalized Theorem of Calculus, Hodge dual, etc.
Video Training → TTC – The Power of Mathematical Visualization
Published by: voska89 on 5-12-2023, 04:16 | 0
Free Download TTC – The Power of Mathematical Visualization
Last updated 12/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lessons ( 12h 22m ) | Size: 10.3 GB
Many people believe they simply aren't good at math—that their brains aren't wired to think mathematically. But just as there are multiple paths to mastering the arts and humanities, there are also alternate approaches to understanding mathematics. One of the most effective methods by far is visualization. If a picture speaks a thousand words, then in mathematics a picture can spawn a thousand ideas.
Video Training → Machine Learning with Python – A Mathematical Perspective
Published by: voska89 on 6-11-2023, 06:29 | 0
Free Download Machine Learning with Python – A Mathematical Perspective
Published 10/2023
Created by Dr Amol Prakash Bhagat
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 42 Lectures ( 21h 18m ) | Size: 7.2 GB
Video Training → Dynamics 2 - Mathematical modeling & analysis of rigid bodies
Published by: voska89 on 25-03-2023, 19:48 | 0
Free Download Dynamics 2: Mathematical modeling & analysis of rigid bodies
Published 3/2023
Created by Mark Misin Engineering Ltd
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 182 Lectures ( 14h 52m ) | Size: 7.49 GB
Video Training → Mathematical Statistics For Data Science
Published by: voska89 on 16-02-2023, 09:29 | 0
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.43 GB | Duration: 4h 13m
An introduction to mathematical statistics for data science, covering method of moments, maximum likelihood, and more
What you'll learn
Video Training → Building Statistical and Mathematical Models with R (2022)
Published by: voska89 on 23-12-2022, 00:36 | 0
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
Video Training → Fluid Mechanics - Basic mathematical derivations
Published by: voska89 on 20-11-2022, 03:26 | 0
Published 11/2022
Created by Dr. G.V.S.S. Sharma
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 4h 0m ) | Size: 912 MB
Video Training → Udemy - VCE Unit 1-2 Mathematical Methods Polynomials
Published by: voska89 on 2-07-2022, 21:55 | 0
Published 07/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 131 lectures (11h 45m) | Size: 4 GB
Video Training → Udemy - Learn Mathematical Coding in Python
Published by: voska89 on 3-03-2022, 01:20 | 0
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 lectures (5h 53m) | Size: 1.16 GB
Shortest way of learning algebra, calculus, statistics, trigonometry, and linear algebra through coding in Python
Video Training → Udemy - Econometrics Solved Questions and Mathematical Proofs
Published by: voska89 on 1-03-2022, 20:07 | 0
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.43 GB | Duration: 11h 37m
Step by step solutions to 60+ Econometrics Questions. Ideal for university students who are new to Econometrics.
