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| | Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on... | | |
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C++ Toolkit for Engineers and Scientists
This concise guide covers the fundamental aspects of the numerical analysis, basing upon it the construction of its routines for solving nonlinear equations, linear and nonlinear systems of equations, and eigenvalue problems. Focusing on software development, this book emphasizes software tools, OOP techniques for handling vectors, polynomials,... | | Designing Machine Learning Systems with Python
Design efficient machine learning systems that give you more accurate results
About This Book
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Gain an understanding of the machine learning design process
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Optimize machine learning systems for improved accuracy
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Understand common programming tools and techniques for machine...
| | The Mathematica GuideBook for Programming
This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge of the key aspects needed to create the fastest, shortest, and most elegant implementations possible. It gives users a deeper understanding of Mathematica by instructive implementations, explanations, and... |
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