Timothy Masters
Books
- Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments
- Ixinia
- Assessing and Improving Prediction and Classification
- Red Dust and Bones
- Permutation and Randomization Tests for Trading System Development
- Deep belief nets in C++ and CUDA C
- Advanced algorithms for neural networks
- Signal and image processing with neural networks
- Data Mining Algorithms in C++
- Computer Art and Illusions
- Extracting and Selecting Features for Data Mining
- Modern Data Mining Algorithms in C++ and CUDA C
- 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 3: Convolutional Nets
- Neural, novel & hybrid algorithms for time series prediction
- Deep Belief Nets in C++ and CUDA C : Volume III
- Statistically Sound Indicators For Financial Market Prediction
- Practical neural network recipes in C++
- Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
- Assessing and Improving Prediction and Classification: Theory and Algorithms in C++
- Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
- Testing and Tuning Market Trading Systems: Algorithms in C++
- Practical Neural Network Recipes in C++
Author data: Open Library