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Fitness of The Cosmos For Life. Biochemistry And Fine Tuning

Fitness of the Cosmos for Life: Biochemistry and Fine-Tuning  eBooks & eLearning

Posted by IrGens at Aug. 5, 2019
Fitness of the Cosmos for Life: Biochemistry and Fine-Tuning

Fitness of the Cosmos for Life: Biochemistry and Fine-Tuning (Cambridge Astrobiology) edited by John D. Barrow, Simon Conway Morris, Stephen Freeland, Charles Harper
English | January 14, 2008 | ISBN: 0521871026 | PDF | 526 pages | 4.7 MB

«Big Book of the Cosmos for Kids» by Speedy Publishing  eBooks & eLearning

Posted by Gelsomino at March 7, 2021
«Big Book of the Cosmos for Kids» by Speedy Publishing

«Big Book of the Cosmos for Kids» by Speedy Publishing
English | EPUB | 0.0 MB
The Urban Astronomer's Guide: A Walking Tour of the Cosmos for City Sky Watchers (Repost)

Rod Mollise, "The Urban Astronomer's Guide: A Walking Tour of the Cosmos for City Sky Watchers"
2006 | pages: 288 | ISBN: 1846282160 | PDF | 10,5 mb
The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques (Repost)

The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques by Wookjae Heo
English | EPUB | 2020 | 171 Pages | ISBN : 3030369021 | 1.42 MB

This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings.
The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques

The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques by Wookjae Heo
English | EPUB | 2020 | 171 Pages | ISBN : 3030369021 | 1.42 MB

This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings. Employing two theoretical backgrounds—ecological systemic theory and artificial intellectual methodology—this book explores a better estimation and a prediction of the demand for life insurance and will be of interest to academics and students of insurance, financial planning, and risk management.
The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques

Wookjae Heo, "The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques"
English | ISBN: 3030369021 | 2020 | 163 pages | PDF | 2 MB
Burned : The Inside Story of the ‘Cash-for-Ash’ Scandal and Northern Ireland’s Secretive New Elite

Burned : The Inside Story of
the ‘Cash-for-Ash’ Scandal and Northern Ireland’s Secretive New Elite

by Sam McBride
English | 2019 | ISBN: 1785372696 | 409 Pages | ePUB | 11.7 MB

Carol of the Drum for English Handbells (and Snare Drum)  Sheet music

Posted by Salieri at April 11, 2021
Carol of the Drum for English Handbells (and Snare Drum)

Carol of the Drum for English Handbells (and Snare Drum)
3 pages | PDF | 0.1 MB

Air de la pluie (Air of the rain) for medium voice and piano in F minor  Sheet music

Posted by Salieri at Feb. 24, 2021
Air de la pluie (Air of the rain) for medium voice and piano in F minor

Air de la pluie (Air of the rain) for medium voice and piano in F minor
8 pages | PDF | 0.3 MB

Calculating the Cosmos: How Mathematics Unveils the Universe  eBooks & eLearning

Posted by tanas.olesya at May 21, 2020
Calculating the Cosmos: How Mathematics Unveils the Universe

Calculating the Cosmos: How Mathematics Unveils the Universe by Howard Hughes
English | 2016 | ISBN: 1781254311 | 360 pages | AZW3 | 6.75 Mb