Timothy Masters

The New Masters of Capital: American Bond Rating Agencies and the Politics of Creditworthiness

Timothy J. Sinclair - The New Masters of Capital: American Bond Rating Agencies and the Politics of Creditworthiness
Published: 2005-04 | ISBN: 0801443288, 0801474914 | PDF | 200 pages | 9 MB

Timothy Sykes - Tim Raw: 4 DVD-set  eBooks & eLearning

Posted by ParRus at Feb. 23, 2012
Timothy Sykes - Tim Raw: 4 DVD-set

Timothy Sykes - Tim Raw: 4 DVD-set
4xDVDRip | English | AVI | 512 x 288 | XviD ~759 kbps | 29.970 fps
MP3 | 128 kbps | 48.0 KHz | 2 channels | 8 hours | 2.73 GB
Genre: eLearning / Trading

All in all this is a solid introduction to trading techniques and methods. You will find a multitude of generalised information and anecdotes throughout the DVD’s. I found the first DVD to be a bit slow and less structured then the remaining DVD’s yet there were some great tips. It is very helpful to take notes, as the first two DVD’s are not divided into any structured chapters.

Masters of Fantasy  eBooks & eLearning

Posted by lout at June 10, 2010
Masters of Fantasy

Masters of Fantasy By Terry Carr, Martin Harry Greenberg
Publisher: Bristol Park Books 1994 | 128 Pages | ISBN: 0884860949 | PDF | 30 MB

Masters of Photography (repost)  eBooks & eLearning

Posted by roxul at May 30, 2017
Masters of Photography (repost)

Beaumont Newhall, "Masters of Photography"
1958 | ISBN-10: 1135787328 | 192 pages | PDF | 21 MB

Masters of Photography  eBooks & eLearning

Posted by arundhati at June 6, 2014
Masters of Photography

Beaumont Newhall, "Masters of Photography"
1958 | ISBN-10: 1135787328 | 192 pages | PDF | 21 MB

Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications  eBooks & eLearning

Posted by Free butterfly at June 23, 2023
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications

Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications by Timothy Masters
English | December 19, 2018 | ISBN: 148423314X | 300 pages | MOBI | 1.93 Mb
Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments[Repost]

Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB by Timothy Masters
English | June 1, 2013 | ISBN: 148950771X | 520 pages | PDF | 5.58 Mb
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks

Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks By Timothy Masters
English | PDF,EPUB | 2018 | 225 Pages | ISBN : 1484235908 | 5.63 MB

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards.

Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets  eBooks & eLearning

Posted by AvaxGenius at July 4, 2018
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets

Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets by Timothy Masters
English | PDF,EPUB | 2018 | 184 Pages | ISBN : 148423720X | 2.76 MB

Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract concepts built from simpler primitives. These models are especially useful for image processing applications.
Statistically sound machine learning for algorithmic trading of financial instruments (Repost)

Statistically sound machine learning for algorithmic trading of financial instruments By David Aronson, Timothy Masters
2013 | 542 Pages | ISBN: 148950771X | PDF | 51 MB