Algorithms and data structures

Machine learning is an intimidating subject until you know the fundamentals.

Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning.

Learn how to solve challenging machine learning problems with TensorFlow, Googles revolutionary new software library for deep learning.

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time.

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time.

Building a simple but powerful recommendation system is much easier than you think.

Building a simple but powerful recommendation system is much easier than you think.

Finding Data Anomalies You Didn't Know to Look ForAnomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets.

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs.

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs.

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data.

This textbook presents the concepts and tools necessary to understand, build, and implement algorithms for computing elementary functions (e.

Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency.

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning.

Here is your in-depth guide to cryptography and cryptanalysis in Java.

Master the essentials of cryptography and cryptanalysis and learn how to put them to practical use.

Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries.

Build programs that give users full control of their applications in order to meet end users' unique needs and scenarios.

Master algorithms programming using Lisp, including the most important data structures and algorithms.

Learn approaches of computational thinking and the art of designing algorithms.

"e;It's a joy to read a book by a mathematician who knows how to write.

Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications.

Human attention is in the highest demand it has ever been.

Are algorithms friend or foe?

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage.

Study elementary and complex algorithms with clear examples and implementations in C.

In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation.

Build, test, and tune financial, insurance or other market trading systems using C++ algorithms and statistics.

Gain the fundamentals of x86 64-bit assembly language programming and focus onthe updated aspects of the x86 instruction set that are most relevant to applicationsoftware development.

Build interactive, database-driven websites with PHP 7, MySQL 8, and MariaDB.

Discover hidden relationships among the variables in your data, and learn how to exploit these relationships.

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning.

Take a deep dive into the concepts of machine learning as they apply to contemporary business and management.

Improve your coding skills and learn how to write readable code.

Learn the fundamental foundations and concepts of the Apache HBase (NoSQL) open source database.

A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption.

Database Systems: A Pragmatic Approach is a classroom textbook for use by students who are learning about relational databases, and the professors who teach them.

This book explains the ongoing war between private business and cyber criminals, state-sponsored attackers, terrorists, and hacktivist groups.

Study for the Project Management Professional (PMP(R)) Examination with this essential aid in your study program.

Business Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache.

Beginning SQL Server for Developers is the perfect book for developers new to SQL Server and planning to create and deploy applications against Microsoft’s market-leading database system for the Windows platform.

Beginning T-SQL is a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server database engine.

The book is suitable for advanced courses in computer vision and image processing.

Foundations of Genetic Algorithms 1995 (FOGA 3)

Automated Theorem Proving: A Logical Basis

First Published in 2018.

Algorithm engineering allows computer engineers to produce a computational machine that will execute an algorithm as efficiently and cost-effectively as possible given a set of constraints, such as minimal performance or the availability of technology.

The heart of any system that simulates the physical interaction between objects is collision detection-the ability to detect when two objects have come into contact.

Interest in finite automata theory continues to grow, not only because of its applications in computer science, but also because of more recent applications in mathematics, particularly group theory and symbolic dynamics.

Of considerable importance to numerical analysts, this text contains the proceedings of the 18th Dundee Biennial Conference on Numerical Analysis, featuring eminent analysts and current topics.