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Python Unlocked
Python Unlocked

Key Features

  • Write smarter, bug-free, high performance code with minimal effort
  • Uncover the best tools and options available to Python developers today
  • Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively

Book...

Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...
Daniel Arbuckle's Mastering Python
Daniel Arbuckle's Mastering Python

Key Features

  • Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
  • Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
  • Get introduced to the mechanism for rewriting code in a...
Matrix Algorithms, Volume I
Matrix Algorithms, Volume I
This book, Basic Decompositions, is the first volume in a projected five-volume series entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.

My intended audience is the nonspecialist
...
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Bayesian Computation with R (Use R)
Bayesian Computation with R (Use R)
The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and...
Numerical Polynomial Algebra
Numerical Polynomial Algebra
This first book on the numerical analysis of polynomial systems is a stepping stone at the interface of symbolic computation and numerical computation. Bernard Sturmfels, Department of Mathematics, University of Berkeley

I am not familiar with any books that do such a careful job of combining numerical analysis with the algebra of
...
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems (Advances in Intelligent Systems and Computing)
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems (Advances in Intelligent Systems and Computing)

Prediction of behavior of the dynamical systems, analysis and modeling of its structure is vitally important problem in engineering, economy and science today.

Examples of such systems can be seen in the world around us and of course in almost every scientific discipline including such “exotic” domains like the...

Computer Algebra Recipes: An Introductory Guide to the Mathematical Models of Science
Computer Algebra Recipes: An Introductory Guide to the Mathematical Models of Science
A computer algebra system (CAS) not only has the ability to "crunch numbers" and plot results, like traditional computing languages such as Fortran and C, but it can also perform the symbolic manipulations and analytic derivations required in most undergraduate and graduate science and engineering courses. To introduce students in these...
Learning SciPy for Numerical and Scientific Computing Second Edition
Learning SciPy for Numerical and Scientific Computing Second Edition

Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

About This Book

  • Use different modules and routines from the SciPy library quickly and efficiently
  • Create vectors and matrices and learn how to perform standard mathematical operations...
Scala Functional Programming Patterns
Scala Functional Programming Patterns

Grok and perform effective functional programming in Scala

About This Book

  • Understand functional programming patterns by comparing them with the traditional object-oriented design patterns
  • Write robust, safer, and better code using the declarative programming paradigm
  • An...
Learning Bayesian Models with R
Learning Bayesian Models with R

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

About This Book

  • Understand the principles of Bayesian Inference with less mathematical equations
  • Learn state-of-the art Machine Learning methods
  • Familiarize...
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