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Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...
Artificial Neural Networks with Java: Tools for Building Neural Network Applications
Artificial Neural Networks with Java: Tools for Building Neural Network Applications
Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural...
Instant R Starter
Instant R Starter

Jump into the R programming language and go beyond "Hello World!"

Overview

  • Learn something new in an Instant! A short, fast, focused guide delivering immediate results.
  • Basic concepts of the R language
  • Discover tips and tricks for working with...
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Reveals How HMMs Can Be Used as General-Purpose Time Series Models

Implements all methods in R
Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and
...

Python Continuous Integration and Delivery: A Concise Guide with Examples
Python Continuous Integration and Delivery: A Concise Guide with Examples
Gain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Based on example applications, this book introduces various kinds of testing and shows you how to set up...
Getting Started with C++ Audio Programming for Game Development
Getting Started with C++ Audio Programming for Game Development

Written specifically to help C++ developers add audio to their games from scratch, this book gives a clear introduction to the concepts and practical application of audio programming using the FMOD library and toolkit.

Overview

  • Add audio to your game using FMOD and wrap it in your own...
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as...
Go in Practice: Includes 70 Techniques
Go in Practice: Includes 70 Techniques

Summary

Go in Practice guides you through 70 real-world techniques in key areas like package management, microservice communication, and more. Following a cookbook-style Problem/Solution/Discussion format, this practical handbook builds on the foundational concepts of the Go language and introduces specific...

Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists
Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

Are algorithms friend or foe?

The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we...

Getting Started with Python: Understand key data structures and use Python in object-oriented programming
Getting Started with Python: Understand key data structures and use Python in object-oriented programming

Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information

Key Features

  • Turn your designs into working software by learning the Python syntax
  • Write robust code with a solid understanding of...
Algorithms and Programming: Problems and Solutions (Springer Undergraduate Texts in Mathematics and Technology)
Algorithms and Programming: Problems and Solutions (Springer Undergraduate Texts in Mathematics and Technology)
Somebody once said that one may prove the correctness of an algorithm, but not of a program. One of the main goals of this book is to convince the reader that things are not so bad.

A well-known programmer, C.A.R. Hoare, said that the beauty of a program is not an additional benefit but a criterion
...
Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science and Data Analysis)
Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science and Data Analysis)

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical...

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