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Information Retrieval: Data Structures and Algorithms
Information Retrieval: Data Structures and Algorithms

Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. Providing the latest information retrieval techniques, this guide discusses Information Retrieval data structures and algorithms, including implementations in C. Aimed at software engineers building systems with...

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification,...
Functional Interfaces in Java: Fundamentals and Examples
Functional Interfaces in Java: Fundamentals and Examples
Reduce development time by organizing your programs as chains of functional interfaces and see that the advantages of using functional interfaces include the flexibility and power of inlined functional chains and reuse of functional methods utilized throughout the Java API. You’ll see how complex logical expressions can be reduced...
Algorithmic Number Theory, Vol. 1: Efficient Algorithms (Foundations of Computing)
Algorithmic Number Theory, Vol. 1: Efficient Algorithms (Foundations of Computing)

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section...

Linear Control System Analysis and Design with MATLAB® (Automation and Control Engineering)
Linear Control System Analysis and Design with MATLAB® (Automation and Control Engineering)

Thoroughly classroom-tested and proven to be a valuable self-study companion, Linear Control System Analysis and Design: Sixth Edition provides an intensive overview of modern control theory and conventional control system design using in-depth explanations, diagrams, calculations, and tables.

Keeping mathematics...

A Century of Electrical Engineering and Computer Science at MIT, 1882-1982
A Century of Electrical Engineering and Computer Science at MIT, 1882-1982

The book's text and many photographs introduce readers to the renowned teachers and researchers who are still well known in engineering circles.

Electrical engineering is a protean profession. Today the field embraces many disciplines that seem far removed from its roots in the telegraph, telephone, electric...

The Art of Modeling in Science and Engineering with Mathematica
The Art of Modeling in Science and Engineering with Mathematica
Modeling is practiced in engineering and all physical sciences. Many specialized texts exist - written at a high level - that cover this subject. However, students and even professionals often experience difficulties in setting up and solving even the simplest of models. This can be attributed to three difficulties: the proper choice of model,...
Learning Linux Shell Scripting
Learning Linux Shell Scripting

Unleash the power of shell scripts to solve real-world problems by breaking through the practice of writing tedious code

About This Book

  • Learn how to efficiently and effectively build shell scripts and develop advanced applications with this handy book
  • Develop high...
Introduction to Statistics Through Resampling Methods and R
Introduction to Statistics Through Resampling Methods and R
A highly accessible alternative approach to basic statistics Praise for the First Edition:  "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."?Technometrics 

Written in a
...
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Get to grips with the essentials of deep learning by leveraging the power of Python

Key Features

  • Your one-stop solution to get started with the essentials of deep learning and neural network modeling
  • Train different kinds of neural networks to tackle various problems in...
Data Analytics for Engineering and Construction  Project Risk Management (Risk, Systems and Decisions)
Data Analytics for Engineering and Construction Project Risk Management (Risk, Systems and Decisions)

This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve,...

PyTorch Recipes: A Problem-Solution Approach
PyTorch Recipes: A Problem-Solution Approach
Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look...
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