10% OFF Code: TRYIT

Kirkland Kyle, "Atoms And Materials"
2007 | ISBN-10: 0816061157 | 176 pages | PDF | 5 MB

John P. Mulhall and Lawrence Jenkins, "Atlas of Office Based Andrology Procedures"
English | ISBN: 331942176X | 2016 | 138 pages | EPUB | 5 MB

Artist: Various Artists
Title: MidWinter: A Celebration of the Folk Music & Traditions of Christmas & The Turning of the Year
Year Of Release: 2006
Label: Free Reed Records [FRQCD-30]
Genre: Folk, Celtic, World, Holiday
Quality: 320 kbps / FLAC (tracks +.cue,log,,d.booklet)
Total Time: 5:05:52
Total Size: 771 mb / 1.59 gb

Atlas of Anatomy of the Peripheral Nerves: The Nerves of the Limbs - Student Edition by Philippe Rigoard
English | 2 Oct. 2017 | ISBN: 3319430882 | 322 Pages | PDF | 50.23 MB
This innovative atlas focuses on peripheral nerves and provides a brand new approach compared to regular anatomy books. Using a modern 3D approach, it offers an alternative to conventional anatomical structures.

Artist: Various Artists
Title: 25 Years A Friend In Need
Year Of Release: 2018
Label: A Friend In Need
Genre: Deep House, Downtempo
Quality: Mp3 / 320 kbps
Total Time: 00:55:14 min
Total Size: 128 mb

Athens : The City As University
by Niall Livingstone
English | 2017 | ISBN: 0415212960 | 135 Pages | PDF | 5.6 MB

Artist: Various Artists
Title: Best of Minimal Techno
Year Of Release: 05-01-2018
Label: Big Mamas House Compilations
Genre: Minimal, Deep, Tech House, Detroit, Techno
Quality: 320 Kbps/44100Hz
Total Time: 04:32:36 Min
Total Size: 630 Mb

At Home in Space: The Late Seventies into the Eighties By Ben Evans
2012 | 496 Pages | ISBN: 1441988092 | PDF | 99 MB

Richard Handy, David B. Moody, Jeremy Perez, "Astronomical Sketching: A Step-by-Step Introduction"
2007 | pages: 203 | ISBN: 0387262407 | PDF | 67,7 mb

Assessing and Improving Prediction and Classification: Theory and Algorithms in C++ By Timothy Masters
English | EPUB | 2017 (2018 Edition) | 517 Pages | ISBN : 1484233352 | 2.06 MB
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust models and quantifying their expected behavior when put to work in your application.