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Algorithms in a Nutshell: A Practical Guide
Algorithms in a Nutshell: A Practical Guide

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your...

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Structural Geology Algorithms: Vectors and Tensors
Structural Geology Algorithms: Vectors and Tensors

State-of-the-art analysis of geological structures has become increasingly quantitative but traditionally, graphical methods are used in teaching. This innovative lab book provides a unified methodology for problem-solving in structural geology using linear algebra and computation. Assuming only limited mathematical training, the book begins...

IoT Security Issues
IoT Security Issues

IoT Security Issues looks at the burgeoning growth of devices of all kinds controlled over the Internet of all varieties, where product comes first and security second. In this case, security trails badly. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problem, investigating the stack...

Structure and Interpretation of Computer Programs, Second Edition
Structure and Interpretation of Computer Programs, Second Edition

With an analytical and rigorous approach to problem solving and programming techniques, this book is oriented toward engineering. Structure and Interpretation of Computer Programs emphasizes the central role played by different approaches to dealing with time in computational models. Its unique approach makes it appropriate for an...

Numerical Methods in Finance with C++ (Mastering Mathematical Finance)
Numerical Methods in Finance with C++ (Mastering Mathematical Finance)

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book...

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support
Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book...

Efficient Algorithms for Listing Combinatorial Structures (Distinguished Dissertations in Computer Science)
Efficient Algorithms for Listing Combinatorial Structures (Distinguished Dissertations in Computer Science)

This thesis is concerned with the design of efficient algorithms for listing combinatorial structures. The research described here gives some answers to the following questions: which families of combinatorial structures have fast computer algorithms for listing their members, What general methods are useful for listing combinatorial...

Introductory Chemistry: An Atoms First Approach
Introductory Chemistry: An Atoms First Approach

From its very origin, Introductory Chemistry: An Atoms First Approach by Julia Burdge and Michelle Driessen has been developed and written using an atoms‐first approach specific to introductory chemistry. It is not a pared down version of a general chemistry text, but carefully crafted with the introductory‐chemistry student...

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Java in 21 Days, Sams Teach Yourself (Covering Java 8) (7th Edition)
Java in 21 Days, Sams Teach Yourself (Covering Java 8) (7th Edition)

In just 21 days you can acquire the knowledge and skills necessary to develop applications on your computer and apps that run on Android phones and tablets. With this complete tutorial you’ll quickly master the basics and then move on to more advanced features and concepts.

Completely updated for Java 8,...

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...
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