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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...

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...

Algorithmic Puzzles
Algorithmic Puzzles

While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic...

Data Mining Using Grammar Based Genetic Programming and Applications
Data Mining Using Grammar Based Genetic Programming and Applications

Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining,...

Puzzles for Programmers and Pros
Puzzles for Programmers and Pros

Solving puzzles demands a mindset that starts with a vulnerable openness followed by a rigorous drive to find a solution. Whether you're preparing for a programming job interview or just like a challenge, this book takes you on a tour of problem-solving techniques so you can dramatically improve your skills. You'll learn how to conquer simple...

Big Data Application Architecture Q&A: A Problem - Solution Approach (Expert's Voice in Big Data)
Big Data Application Architecture Q&A: A Problem - Solution Approach (Expert's Voice in Big Data)

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of...

Flexibility and Robustness in Scheduling
Flexibility and Robustness in Scheduling

Scheduling is a broad research area and scheduling problems arise from several application domains (production systems, logistic, computer science, etc.). Solving scheduling problems requires tools of combinatorial optimization, exact or approximated algorithms. Flexibility is at the frontier between predictive deterministic approaches and...

Amazon Web Services for Mobile Developers: Building Apps with AWS
Amazon Web Services for Mobile Developers: Building Apps with AWS

A practical, real-world introduction to AWS tools and concepts

Amazon Web Services for Mobile Developers: Building Apps with AWS presents a professional view of cloud computing and AWS for experienced iOS/Android developers and technical/solution architects. Cloud computing is a rapidly expanding ecosystem, and...

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...
System Building with APL + WIN
System Building with APL + WIN

Software modernisation or re-engineering as a concept lacksuniversal clarity. System Building with APL + Win seeks toclarify this problem by identifying the solution to the long termsurvival of the APL application as the elimination of APL specificconsiderations in the choice of a development tool. The authorshows how to deploy...

Anti-Hacker Tool Kit, Fourth Edition
Anti-Hacker Tool Kit, Fourth Edition

Defend against today's most devious attacks

Fully revised to include cutting-edge new tools for your security arsenal, Anti-Hacker Tool Kit, Fourth Edition reveals how to protect your network from a wide range of nefarious exploits. You'll get detailed explanations of each tool’s function along with best...

Pro Continuous Delivery: With Jenkins 2.0
Pro Continuous Delivery: With Jenkins 2.0
Follow this step-by-step guide for creating a continuous delivery pipeline using all of the new features in Jenkins 2.0 such as Pipeline as a Code, multi-branch pipeline, and more. You will learn three crucial elements for achieving a faster software delivery pipeline: a fungible build/test environment, manageable and reproducible...
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