Mathematics a Magical Journey Through
Einstein's Heroes: Imagining the World Through the Language of Mathematics eBooks & eLearning
Posted by Grev27 at July 13, 2020
Einstein's Heroes: Imagining the World Through the Language of Mathematics by Robyn Arianrhod
English | ISBN: 0195183703, 0195308905 | ASIN: B00YB1OA6O | 340 pages | EPUB | May 25, 2015 | 3.42 Mb
English | ISBN: 0195183703, 0195308905 | ASIN: B00YB1OA6O | 340 pages | EPUB | May 25, 2015 | 3.42 Mb
Birth of a Theorem: A Mathematical Adventure (Repost) eBooks & eLearning
Posted by insetes at July 22, 2018
Birth of a Theorem: A Mathematical Adventure By Cedric Villani, Malcolm Debevoise
2015 | 272 Pages | ISBN: 0865477671 | EPUB | 2 MB
2015 | 272 Pages | ISBN: 0865477671 | EPUB | 2 MB
The Golden Ratio: The Story of Phi, the World's Most Astonishing Number (repost) eBooks & eLearning
Posted by libr at May 20, 2017
The Golden Ratio: The Story of Phi, the World's Most Astonishing Number by Mario Livio
English | 2002-10 | ISBN: 0767908155 | 320 pages | PDF | 2 MB
English | 2002-10 | ISBN: 0767908155 | 320 pages | PDF | 2 MB
The Golden Ratio: The Story of Phi, the World's Most Astonishing Number [Audiobook] Audiobooks
Posted by TheInsertus at Nov. 30, 2021
![The Golden Ratio: The Story of Phi, the World's Most Astonishing Number [Audiobook]](https://pixhost.icu/avaxhome/b6/44/008a44b6_medium.jpg)
The Golden Ratio: The Story of Phi, the World's Most Astonishing Number [Audiobook]
English | May 09, 2013 | ASIN: B00CPRZCL8 | MP3@64 kbps | 10h 13m | 277.39 MB
Author: Mario Livio
Narrator: Mel Foster
The Golden Ratio: The Story of Phi, the World's Most Astonishing Number eBooks & eLearning
Posted by Free butterfly at April 6, 2020
The Golden Ratio: The Story of Phi, the World's Most Astonishing Number by Mario Livio
English | June 5, 2008 | ISBN: 1435298330 | 286 pages | EPUB | 6.66 Mb
English | June 5, 2008 | ISBN: 1435298330 | 286 pages | EPUB | 6.66 Mb
The Magic of Numbers: Part One of Three with Guided Notes eBooks & eLearning
Posted by DZ123 at Aug. 19, 2022
Patrick Bruskiewich, "The Magic of Numbers: Part One of Three with Guided Notes"
English | 2014 | ASIN: B00K8K2S3Y | EPUB | pages: 117 | 0.2 mb
English | 2014 | ASIN: B00K8K2S3Y | EPUB | pages: 117 | 0.2 mb
The Magical Maze: Seeing the World Through Mathematical Eyes eBooks & eLearning
Posted by interes at Oct. 4, 2020
The Magical Maze: Seeing the World Through Mathematical Eyes by Ian Stewart
English | 1998 | ISBN: 047119297X | 268 pages | PDF | 13 MB
English | 1998 | ISBN: 047119297X | 268 pages | PDF | 13 MB
Numerology and Astrology for Beginners eBooks & eLearning
Posted by Free butterfly at April 29, 2021
Numerology and Astrology for Beginners: A Soul’s Journey through the Magical World of Numbers, Zodiac Signs, Horoscopes and Self-discovery by Crystal Hathaway
English | October 20, 2019 | ISBN: 1701358735 | 146 pages | EPUB | 0.20 Mb
English | October 20, 2019 | ISBN: 1701358735 | 146 pages | EPUB | 0.20 Mb
Introduction to Machine Learning for Data Science (Updated) eBooks & eLearning
Posted by Sigha at April 22, 2019
Introduction to Machine Learning for Data Science (Updated)
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 2.63 GB
Duration: 5.5 hours | Genre: eLearning Video | Language: English
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 2.63 GB
Duration: 5.5 hours | Genre: eLearning Video | Language: English
A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.
Data Science And Machine Learning Fundamentals [Theory Only] eBooks & eLearning
Posted by ELK1nG at April 12, 2023
![Data Science And Machine Learning Fundamentals [Theory Only]](https://pixhost.icu/avaxhome/57/ee/009cee57_medium.jpg)
Data Science And Machine Learning Fundamentals [Theory Only]
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 648.92 MB | Duration: 2h 12m
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 648.92 MB | Duration: 2h 12m
Theorical Course for Data Science, Machine Learning, Deep Learning to understand the logic of Data Science algorithms