Название: Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists
Автор: Md Azimul Haque
Издательство: Leanpub
Год: 2022-12-28
Страниц: 196
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The objective of the book is to make the readers self-sufficient in the fine art of developing highly accurate Machine Learning models that make it to production. We will cover different stages of the Machine Learning project from development to the explanation of model predictions. Learning the fundamental building blocks of building machine learning models will make us better educated machine learning engineers, researchers, capable consultants, and confident leaders. This book will help beginners shorten their learning curve in their journey to become capable machine learning engineers. For experienced consultants, we cover some methods and techniques which are less often heard and used. Techniques that were not available in Python previously. For leaders in Data Science, it will help you get perspective on how to advocate your models by using model explainability. Although concepts covered in the book are applicable across programming languages, this book is written for Python users. It is for the same purpose that several algorithms mentioned in this book were developed from scratch and open-sourced as 4 separate Python libraries by the author. It is assumed that the reader has a basic understanding of libraries such as Sklearn for Machine Learning, Pandas, and Numpy for data manipulation, as well as Matplotlib and Seaborn for data visualization.

Название: A Guide to Design and Analysis of Algorithms
Автор: Soubhik Chakraborty, Prashant Pranav, Naghma Khatoon
Издательство: Nova Science Publishers, Inc.
Серия: Computer Science, Technology and Applications
Год: 2023
Страниц: 126
Язык: английский
Формат: pdf (true)
Размер: 12.6 MB

As there can be more than one algorithm for the same problem, designing and analyzing an algorithm becomes important in order to make it as efficient and robust as possible. This book will serve as a guide to design and analysis of computer algorithms. Chapter One provides an overview of different algorithm design techniques and the various applications of such techniques. Chapter Two reviews the divide and conquer strategy and the algorithm types that employ it. Chapter Three explores greedy algorithms and some problems that can be solved with this approach. Chapter Four discusses in depth the dynamic programming approach. Chapter Five provides a solution to the N-Queens problem utilizing a backtracking approach. Chapter Six elucidates the reader to branch and bound techniques and provides three solutions to problems implementing them. Part II of this book begins with Chapter Seven, where two different approaches to the analysis of algorithms are discussed. Chapter Eight reviews randomized algorithms through an empirical lens. Chapter Nine discusses Master Theorem and the many kinds of problems this Theorem can solve. Chapter Ten, the final chapter, provides notes on the empirical complexity analysis of algorithms.

Название: Tiny C Projects
Автор: Dan Gookin
Издательство: Manning Publications
Год: December 27, 2022
Страниц: 425
Язык: английский
Формат: epub, mobi
Размер: 10.1 MB

Learn the big skills of C programming by creating bite-size projects! Work your way through these 15 fun and interesting tiny challenges to master essential C techniques you’ll use in full-size applications. Tiny C Projects is an engaging collection of 15 small programming challenges! This fun read develops your C abilities with lighthearted games like tic-tac-toe, utilities like a useful calendar, and thought-provoking exercises like encoding and cyphers. Jokes and lighthearted humor make even complex ideas fun to learn. Each project is small enough to complete in a weekend, and encourages you to evolve your code, add new functions, and explore the full capabilities of C. The best way to gain programming skills is through hands-on projects—this book offers 15 of them. C is required knowledge for systems engineers, game developers, and roboticists, and you can start writing your own C programs today. Carefully selected projects cover all the core coding skills, including storing and modifying text, reading and writing files, searching your computer’s directory system, and much more.

Название: Podman in Action: The next generation of container engines (Final Release)
Автор: Daniel Walsh
Издательство: Manning Publications
Год: 2023
Страниц: 314
Язык: английский
Формат: pdf (true)
Размер: 13.9 MB

Discover Podman, a next-generation container engine that manages containers rootlessly and provides extra layers of exceptional security unavailable in Docker and other container platforms. Podman in Action teaches you how to develop and manage rootless containers using Podman. You’ll quickly get to grips with Podman’s unique advantages over Docker, and learn how easy it is to migrate your Docker-based infrastructure. Every chapter of Podman in Action includes easy-to-follow examples, including steps to deploy a complete containerized web service. You’ll learn the power and security of the user namespace, how to install and run Podman on MacOS and Windows, and dive into key security concepts like SELinux and SECCOMP.

Название: 2D Drawing with C++17 : Using Only The Standard Library
Автор: Hakan Blomqvist
Издательство: Leanpub
Год: 2022-12-05
Страниц: 639
Язык: английский
Формат: pdf (true)
Размер: 37.2 MB

Learn how to draw pixels, lines, rectangles, circles, triangles and curves with C++17. Save and load PPM files. Visualizing data for presentation, collaboration and investigation. Learn how to draw pixels, lines, rectangles, circles, triangles, and curves with C++17. Save and load PPM files. Visualizing data for presentation, collaboration, and investigation. We have all been there when you want to present some data nicely and graphically. You start by implementing a GUI library so that you can set up a canvas to draw on… but then what? Or you download and build a library that can handle reading and writing PNG images, as you need lossless images. Or you do the same to find out a file's entropy. Or you’re coding on a game and want to test the look of animation sprites in a parallax setting.

Название: MATLAB Polyspace Bug Finder Reference (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 4922
Язык: английский
Формат: pdf (true)
Размер: 12.6 MB

Polyspace Bug Finder identifies run-time errors, concurrency issues, security vulnerabilities, and other defects in C and C++ embedded software. Using static analysis, including semantic analysis, Polyspace Bug Finder analyzes software control flow, data flow, and interprocedural behavior. By highlighting defects as soon as they are detected, it lets you triage and fix bugs early in the development process. Polyspace Bug Finder checks compliance with coding rule standards such as MISRA C, MISRA C++, AUTOSAR C++14, CERT C, CERT C++, and custom naming conventions. It generates reports consisting of bugs found, code-rule violations, and code quality metrics, including cyclomatic complexity. 

Название: MATLAB Polyspace Code Prover User’s Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 1110
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Polyspace Code Prover is a sound static analysis tool that proves the absence of overflow, divide-by-zero, out-of-bounds array access, and other run-time errors in C and C++ source code. It produces results without requiring program execution, code instrumentation, or test cases. Polyspace Code Prover uses semantic analysis and abstract interpretation based on formal methods to verify software interprocedural, control, and data flow behavior. You can use it to verify handwritten code, generated code, or a combination of the two. Each code statement is color-coded to indicate whether it is free of run-time errors, proven to fail, unreachable, or unproven.

Название: MATLAB Bioinformatics Toolbox User’s Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 724
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Bioinformatics Toolbox provides algorithms and apps for Next Generation Sequencing (NGS), microarray analysis, mass spectrometry, and gene ontology. Using toolbox functions, you can read genomic and proteomic data from standard file formats such as SAM, FASTA, CEL, and CDF, as well as from online databases such as the NCBI Gene Expression Omnibus and GenBank®. You can explore and visualize this data with sequence browsers, spatial heatmaps, and clustergrams. The toolbox also provides statistical techniques for detecting peaks, imputing values for missing data, and selecting features. The Bioinformatics Toolbox product extends the MATLAB environment to provide an integrated software environment for genome and proteome analysis. Scientists and engineers can answer questions, solve problems, prototype new algorithms, and build applications for drug discovery and design, genetic engineering, and biological research. An introduction to these features will help you to develop a conceptual model for working with the toolbox and your biological data. The Bioinformatics Toolbox product includes many functions to help you with genome and proteome analysis. Most functions are implemented in the MATLAB programming language, with the source available for you to view. This open environment lets you explore and customize the existing toolbox algorithms or develop your own.

Название: State of the Art in Neural Networks and Their Applications: Volume 2
Автор: Ayman S. El-Baz, Jasjit S. Suri
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 328
Язык: английский
Формат: pdf (true), epub
Размер: 18.6 MB

State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks (ANN) and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of Machine Learning, Artificial Intelligence (AI), Deep Learning (DL), cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, Artificial Intelligence and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks (ANN).

Название: State of the Art in Neural Networks and Their Applications: Volume 1
Автор: Ayman S. El-Baz, Jasjit S. Suri
Издательство: Academic Press/Elsevier
Год: 2021
Страниц: 310
Язык: английский
Формат: pdf (true)
Размер: 15.6 MB

State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of Machine Learning, Artificial Intelligence, Deep Learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1 covers the state-of-the-art Deep Learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more. Among Deep Learning object detectors, the two-stage Deep Learning (DL) object detectors include R-CNN, fast R-CNN, and faster R-CNN.