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Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
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...
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

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...
Engineering Chemistry (as Per VTU)
Engineering Chemistry (as Per VTU)

The objective of this book is to present a substantial introduction to the ideas, phenomena and methods of the problems that are frequently observed in mathematics, mathematical physics and engineering technology. The book can be appreciated at a considerable number of levels and is designed for everyone from amateurs to research workmen.

...
A Comparative Study of Very Large Data Bases (Lecture Notes in Computer Science)
A Comparative Study of Very Large Data Bases (Lecture Notes in Computer Science)

This monograph presents a comparison of methods for organizing very large amounts of stored data called a very large database to facilitate fast retrieval of desired information on direct access storage devices. In a very large data base involving retrieval and updating, the major factor of immediate concern is the average number of accesses...

Applied Algebra: Codes, Ciphers and Discrete Algorithms, Second Edition (Discrete Mathematics and Its Applications)
Applied Algebra: Codes, Ciphers and Discrete Algorithms, Second Edition (Discrete Mathematics and Its Applications)

Using mathematical tools from number theory and finite fields, Applied Algebra: Codes, Ciphers, and Discrete Algorithms, Second Edition presents practical methods for solving problems in data security and data integrity. It is designed for an applied algebra course for students who have had prior classes in abstract or linear...

Group Theoretical Methods in Image Processing (Lecture Notes in Computer Science)
Group Theoretical Methods in Image Processing (Lecture Notes in Computer Science)

These Lecture Notes are based on a series of lectures I gave at the Linkoping University Department of Electrical Engineering in 1988. In these lectures 1 tried to give an overview of the theory of representation of compact groups and some applications in the fields of image science and pattern recognition.

The participants...

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

This volume contains the papers presented at the 14th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX 2011) and the 15th International Workshop on Randomization and Computation (RANDOM 2011), which took place concurrently in Princeton University, USA, during August 17–19,...

Modeling, Estimation and Optimal Filtration in Signal Processing
Modeling, Estimation and Optimal Filtration in Signal Processing

The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing.

Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are...

Algebra DeMYSTiFieD, Second Edition
Algebra DeMYSTiFieD, Second Edition

Your SOLUTION to mastering ALGEBRA!

Trying to tackle algebra but nothing's adding up? No problem! Factor in Algebra Demystified, Second Edition and multiply your chances of learning this important branch of mathematics.

Written in a step-by-step format, this practical guide covers fractions, variables,...

Aspects of Soft Computing, Intelligent Robotics and Control (Studies in Computational Intelligence)
Aspects of Soft Computing, Intelligent Robotics and Control (Studies in Computational Intelligence)

Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow...

Numerical Analysis Using MATLAB and Spreadsheets: Second Edition
Numerical Analysis Using MATLAB and Spreadsheets: Second Edition

Numerical analysis is the branch of mathematics that is used to find approximations to difficult problems such as finding the roots of non-linear equations, integration involving complex expressions and solving differential equations for which analytical solutions do not exist. It is applied to a wide variety of disciplines such as...

Introduction to MATLAB for Engineers
Introduction to MATLAB for Engineers

Formerly used mainly by specialists in signal processing and numerical analysis, MATLAB® in recent years has achieved widespread and enthusiastic acceptance throughout the engineering community. Many engineering schools now require a course based entirely or in part on MATLAB early in the curriculum. MATLAB is programmable and has...

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