Timothy Masters

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Books by Timothy Masters

1
Book Cover of Timothy Masters - Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science

By Timothy Masters – PhD in statistics and experienced programmer 

4.46
| 2020 | 237 Pages
Recommended for: 
Intermediate to advanced data science programmers. Ages 12 to Adults.
You will:
  • Learn to combine principal component analysis with selection techniques for effective feature extraction.
  • Discover how to identify features with predictive power in specific domains.
  • Understand the hidden Markov model's role in feature variable distributions.
  • Improve traditional selection methods using cross-validation and model complexity limits.
  • Learn to convert nominal variables into usable numeric values for prediction models.
Reviews:
Practical Techniques
Well-Structured
In-Depth Examples
Clear Explanations
Comprehensive Coverage
Complex Concepts
Limited Audience
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Recommended by Anthony Duben
Anthony DubenThis is an excellent book directed toward those who are already working in data mining
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2
Book Cover of David Aronson, Timothy Masters - Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB
4.44
| 2013 | 520 Pages
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3
Book Cover of Timothy Masters - Assessing and Improving Prediction and Classification: Theory and Algorithms in C++

By Timothy Masters – PhD in Mathematical Statistics 

4.34
| 2017 | 537 Pages
Recommended for: 
Data analysts, machine learning practitioners. Intermediate to Advanced readers.
You will:
  • Compute entropy to detect problematic predictors
  • Improve numeric predictions using various techniques like interpolation and smoothing
  • Carry out classification decisions using different rules and techniques
  • Harness information-theoretic techniques for screening predictors
  • Compute confidence intervals for predictions and classification decisions
Reviews:
Practical
Clear Explanations
Valuable Content
Expert Author
Intuitive Concepts
Confusing Subject
Advanced Mathematics
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4
Book Cover of Timothy Masters - Testing and Tuning Market Trading Systems: Algorithms in C++
4.31
| 2018 | 330 Pages
  • #80 Best Seller in Compiler Design on Amazon
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5
Book Cover of Timothy Masters - Signal and Image Processing with Neural Networks: A C++ Sourcebook

By Timothy Masters – PhD in Mathematical Statistics, Specialization in Numerical Computing 

4.29
| 1994 | 417 Pages
Recommended for: 
Mathematical Statisticians & Computer Scientists. Intermediate to Advanced readers.
You will:
  • Understand how neural networks aid in DSP and imaging problems
  • Learn about complex-domain MLFN design and training
  • Discover signal and image processing algorithms suitable for neural networks
  • Explore problems where complex-domain networks outperform real-domain counterparts
  • Access complete source code for discussed algorithms
Reviews:
Complex-domain Networks
Neural Networks
Signal Processing
Image Processing
Training Algorithms
Real-domain Networks
Lack of Practical Examples
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6
Book Cover of Timothy Masters - Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks

By Timothy Masters – PhD in Mathematical Statistics, Independent Consultant 

4.25
| 2018 | 228 Pages
Recommended for: 
Practitioners with programming experience. Ages 12 to Adults.
You will:
  • Employ deep learning using C++ and CUDA C effectively.
  • Work with supervised feedforward networks for practical applications.
  • Implement restricted Boltzmann machines in real-world scenarios.
  • Use generative samplings to enhance model performance.
  • Discover the importance of deep belief networks in machine learning.
Reviews:
Practical Examples
Intuitive Explanations
In-Depth Code
Useful for Practitioners
Good Resource
Poor Quality
Repetitive Content
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
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7
Book Cover of Timothy Masters - Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
4.24
| 2017 | 300 Pages
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