Learn IT - Books tags linear

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Packt Publishing, 2018

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

Implement machine learning algorithms to build, train, and validate algorithmic models

Create your own algorithmic design process to apply...

Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch

Apress, 2021

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...

Analysis and Control of Boolean Networks: A Semi-tensor Product Approach

Springer, 2010

Analysis and Control of Boolean Networks presents a systematic new approach to the investigation of Boolean control networks. The fundamental tool in this approach is a novel matrix product called the semi-tensor product (STP). Using the STP, a logical function can be expressed as a conventional discrete-time linear system. In the light of...

Data Analysis Using SAS Enterprise Guide

Cambridge University Press, 2009

The present book, Data Analysis Using SAS Enterprise Guide, provides readers with an overview of Enterprise Guide, the newest point-and-click interface from SAS. SAS Enterprise Guide is a graphical user (point-and-click) interface to the main SAS application, having relatively recently replaced the Analyst interface, which itself had replaced...

Computer-Based Numerical & Statistical Techniques (with CD-ROM)(Mathematics)

Jones and Bartlett Publishers, 2007

T he limitations of analytical methods in practical applications have led mathematicians to evolve numerical methods. We know that exact methods often fail in drawing plausible inferences from a given set of tabulated data or in finding roots of transcendental equations or in solving non-linear differential equations.

Even if analytical...

Designing Machine Learning Systems with Python

Packt Publishing, 2016

Design efficient machine learning systems that give you more accurate results

About This Book

Gain an understanding of the machine learning design process

Optimize machine learning systems for improved accuracy

Understand common programming tools and techniques for machine...

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

O'Reilly, 2017

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

S+Functional Data Analysis User's Guide

Springer, 2005

S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a...

Putting A New Spin on Groups: The Science of Chaos

Lawrence Erlbaum Associates, 2004

Putting a New Spin on Groups: The Science of Chaos, Second Edition continues to challenge orthodoxy and static ideas about small group dynamics. A primary goal is to offer an alternative model of group development that addresses three factors:

*The model integrates old ideas from previous models of group development with new...

The Lanczos Method: Evolution and Application (Software, Environments and Tools)

SIAM, 1987

'I recommend this book to anyone who wants to appreciate the often subtle interactions between algorithm research and engineering applications. For the engineer, it comprehensively summarizes 25 years of intellectual development in the understanding of the basic Lanczos algorithm and its many variants. For the numerical analysts, it describes the...

Plastic Analysis and Design of Steel Structures

Butterworth-Heinemann, 2008

Simple introduction to plastic analysis of complex steel structures

The plastic analysis method has been used extensively by engineers for designing steel structures. Simpler structures can be analyzed using the basic virtual work formulation, but more complex frames are evaluated with specialist computer software. This new...

The Next Wave in Computing, Optimization, and Decision Technologies

Springer, 2004

Brown et al. (2004) (see also Reed 1994 and Skroch 2004) model the
completion of an adversarial nation’s nuclear-weapons program using
general techniques of PERT. (See PERT 1958 and Malcolm et al. 1959
for the original descriptions of PERT, and see Moder et al. 1983 for a
comprehensive review.) Brown et al. (2004) ask the...

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