Название: Machine Learning with Python: Theory and Implementation
Автор: Amin Zollanvari
Издательство: Springer
Год: 2023
Страниц: 457
Язык: английский
Формат: pdf (true)
Размер: 39.1 MB

This book is meant as a textbook for undergraduate and graduate students who are willing to understand essential elements of Machine Learning from both a theoretical and a practical perspective. The choice of the topics in the book is made based on one criterion: whether the practical utility of a certain method justifies its theoretical elaboration for students with a typical mathematical background in engineering and other quantitative fields. As a result, not only does the book contain practically useful techniques, it also presents them in a mathematical language that is accessible to both graduate and advanced undergraduate students. The primary goal of this book is to provide, as far as possible, a concise systematic introduction to practical and mathematical aspects of Machine Learning algorithms. At the same time, throughout the book and in order to keep a balance between theory and practice, the theoretical introduction to each method is complemented by its Python implementation either in Scikit-Learn or Keras.

Название: Quantum Computing: A pathway to quantum logic design, 2nd Edition
Автор: Hafiz Md. Hasan Babu
Издательство: IOP Publishing
Год: 2023
Страниц: 363
Язык: английский
Формат: pdf (true)
Размер: 89.2 MB

Quantum computing is an emerging technology with the potential to have a significant impact on science and technology. Organised into four parts, this comprehensive second edition covers topics such as the basic concepts of quantum computing alongside quantum implementation of different circuits; the fault tolerant concepts of quantum computing; the concept of QCA alongside the design processes of different QCA circuits; and an overview of QCA fault-tolerant circuits and their design procedures. In addition to updates to first edition chapters to reflect developments in recent years, this new edition sees the inclusion of problems to every chapter and eight new chapters. This book will be a great help for quantum computing researchers, faculty members and students who can develop a working understanding of circuit-based quantum computing. This quantum computing book covers basic themes of quantum computing in the first part, fault-tolerant quantum computing in the second part, quantum-dot cellular automata (QCA) in the third part and QCA fault-tolerant circuits in the fourth part. Each part has a critical thinking question section for the readers. The book covers the design aspects of quantum computing, specifically focusing on the design of various quantum circuits.

Название: Data Science Crash Course: Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI, Second Edition
Автор: Vivian Siahaan, Rismon Sianipar
Издательство: Balige Publishing
Год: July 2023
Страниц: 585
Язык: английский
Формат: epub (true)
Размер: 19.7 MB

Thyroid disease is a prevalent condition that affects the thyroid gland, leading to various health issues. In this session of the Data Science Crash Course, we will explore the classification and prediction of thyroid disease using Machine Learning and Deep Learning techniques, all implemented with the power of Python and a user-friendly GUI built with PyQt. We will start by conducting data exploration on a comprehensive dataset containing relevant features and thyroid disease labels. Through analysis and pattern recognition, we will gain insights into the underlying factors contributing to thyroid disease. Next, we will delve into the Machine Learning phase, where we will implement popular algorithms including Support Vector, Logistic Regression, K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Gradient Boosting, Light Gradient Boosting, Naive Bayes, Adaboost, Extreme Gradient Boosting, and Multi-Layer Perceptron. These models will be trained using different preprocessing techniques, including raw data, normalization, and standardization, to evaluate their performance and accuracy. We train each model on the training dataset and evaluate its performance using appropriate metrics such as accuracy, precision, recall, and F1-score. This helps us assess how well the models can predict stroke based on the given features. To optimize the models' performance, we perform hyperparameter tuning using techniques like grid search or randomized search. This involves systematically exploring different combinations of hyperparameters to find the best configuration for each model. After training and tuning the models, we save them to disk using joblib. This allows us to reuse the trained models for future predictions without having to train them again. Moving beyond traditional Machine Learning, we will build an artificial neural network (ANN) using TensorFlow.

Название: Elixir in Action, Third Edition (MEAP v7)
Автор: Sasa Juric
Издательство: Manning Publications
Год: 2023
Страниц: 397
Язык: английский
Формат: pdf , epub, mobi
Размер: 10.2 MB

Fully updated to Elixir 1.14, this authoritative bestseller reveals how Elixir tackles problems of scalability, fault tolerance, and high availability. Thousands of developers have learned to build applications in Elixir by using Saša Juric’s Elixir in Action. Now in its third edition and fully updated to Elixir 1.14, this authoritative bestseller reveals how Elixir tackles problems of scalability, fault tolerance, and high availability. Skip the programming basics or 101 introductions; this book builds on your existing knowledge to get you quickly writing real Elixir code. Along the way, you'll develop an appreciation for, and considerable skill in, functional and concurrent programming. Elixir is the perfect choice for mission-critical software. Its fault-tolerance and concurrency capabilities let it seamlessly handle huge numbers of users and data, and its functional programming mindset means Elixir applications are predictable, readable, and easy to maintain. Start coding in Elixir, and you’ll get instant access to the battle-tested Erlang virtual machine that powers this awesome language, along with Elixir’s own thriving ecosystem of resources. It’s the reliable solution you need for everything from a large-scale distributed system to a simple web app. You’ll need intermediate skills with client/server applications and a language like Java, C#, or Ruby. No previous experience with Elixir required.

Название: Mastering jQuery: A Beginner's Guide
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2024
Страниц: 277
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

With a combination of flexibility and feature-rich design, jQuery has changed the way millions of people write jаvascript. It makes tasks such as HTML document conversion, animation, event management, and Asynchronous jаvascript and XML (AJAX) much easier with an easy-to-use API that works on a wide variety of browsers. This book is a detailed guide for beginners to understand jQuery and its programming techniques. It discusses the fundamental concepts of jQuery and provides a roadmap for creating websites using jQuery programming. jQuery is a fast jаvascript Library developed by John Resig in 2006 with a great theme: write less, do more. jQuery makes it easy to split HTML documents, event management, animation, and AJAX collaborations for faster web development. It is fast, light, lightweight, and rich in features and designed to simplify HTML text on the client side. It makes things like DOM cut and trick, event management, animation, and AJAX much easier. With a combination of flexibility and extensibility, jQuery has changed the way millions of people write jаvascript. The purpose of jQuery is to make jаvascript faster, easier, shorter, more efficient, and more attractive. jQuery helps developers to make websites more dynamic and collaborative with jQuery.

Название: Objective-C: The Ultimate Guide
Автор: Sufyan bin Uzayr
Издательство: CRC Press
Год: 2024
Страниц: 341
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Objective-C: The Ultimate Guide walks developers and coders through a straightforward and practical method of learning the Objective-C programming language. This book discusses the basics in brief, and then moves on to more advanced and detailed exercises to help readers quickly gain the required knowledge. The focus in this book remains on writing optimized and well-structured code in Objective-C. Objective-C language is a general-purpose, object-oriented programming language that extends the C programming language with Smalltalk-style messaging. Apple’s primary programming language for the OS X and iOS operating systems and their associated APIs, Cocoa, and Cocoa Touch. This book will walk you through a straightforward and practical method of learning the Objective-C programming language. Programming in Objective-C is a general-purpose programming language. Although it is not unique to any platform or system, use it to construct a wide range of frameworks. Programming in Objective-C adds communications features to the language C.

Название: Happy Learn Haskell Tutorial Volume 1
Автор: GetContented
Издательство: Leanpub
Год: January 18, 2022
Страниц: 248
Язык: английский
Формат: pdf (true) +Extras
Размер: 19.4 MB

This tutorial has a funny name, and friendly face, but it's serious about making learning Haskell fun. Volume 1 is a most enjoyable way for programming beginners to start with Haskell. It will take your reading from zero to halfway thru beginner-level, and your writing to the tiniest pre-beginner (basic) programs. Uses gradual, staged, small whole programs and fun examples with useful illustrations. Many books don't address the subject of how to craft solutions, or they just leave you with nothing but some exercises and your own intuition. Most are focussed heavily on programming language topics first, and how you use them to do things second, if at all. You'll notice we're primarily interested in you learning how to do useful things, rather than the language for its own sake. Practical things will anchor the language more in your memory and experience. Our material is cleverly crafted to gradually introduce you to the entire language. We do this over the course of the various, interesting examples which are present in every chapter, across all the volumes. We chose this way because the other way bores people to sleep, which is inconsiderate and tedious. Countless people have found programming difficult to learn because of boring examples, unpolished writing, or material being organised for language features rather than learner interest. On the other hand, we've seen great success in material that uses varied repetition, amusing useful pictures, fun examples using real-world topics and small graded steps. This guided our choices in building the entire series, one volume of which you have in your hands. If motivation really is what pulls us through practice, then we sincerely hope we've inspired motivation and excitement in you with this series, and wish you never forget the love that we all share for learning and programming. May it guide you always.

Название: Practical Machine Learning in R (2021 Update)
Автор: Kyriakos Chatzidimitriou, Themistoklis Diamantopoulos, Thomas Karanikiotis
Издательство: Leanpub
Год: 2021-07-13
Страниц: 160
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Do you want to start using R for crunching machine learning models right from the start with examples? Then this book is for you. R is an open source programming language and a free environment, mainly used for statistical computing and graphics. You can find information about R in the official website. By searching with the keyword R with other topic-specific words in sites like Google, one can find additional information from sites, blog posts, tutorials, documents etc. Even through R comes with its own environment: command line and graphical interfaces, one can use the popular RStudio, which offers additional graphical functionalities. Machine Learning (ML) is a subset of Artificial Intelligence (AI) in the field of computer science that often uses statistical techniques to give computers the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. Machine Learning is often closelly related, if not used as an alternate term, to fields like Data Mining (the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems), Pattern Recognition, Statistical Inference or Statistical Learning. All these areas often employ the same methods and perhaps the name changes based on the practitioner’s expertise or the application domain.

Название: Measurements and Data Analysis for Agricultural Engineers Using Python
Автор: Matti Pastell
Издательство: Leanpub
Год: March 1, 2016
Страниц: 131
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This book is based on my lecture notes from the course “Measurement technology” at my previous position in the Department of Agricultural Sciences at the University of Helsinki. The book has two parts: The beginning covers the basics of the theory needed to understand proper sampling and planning of measurement systems. It also covers basics of data loggers and sensor connections. The book doesn’t cover sensor, this information is difficult to keep up to date and there are several books focusing on sensors already. The second part covers the basics of Python, Scientific Python with applications to spectral analysis and digital filtering. The focus is on examples in signal processing. The reason I chose Python for my teaching was that I wanted to have one language that can be used to write software for data collection, interface hardware and analyze data. I also wanted to have a language that is easy to learn, free for students to use for homework and on their own projects and works on multiple operating systems. In addition to Python being popular general purpose A lot of dataloggers have drivers for Python, the SciPy stack is a powerful option for scientific computing and OpenCV Python interface allows the implementation of popular computer vision applications.

Название: Stroke: Analysis and Prediction Using Scikit-Learn, Keras, and TensorFlow with Python GUI, Second Edition
Автор: Vivian Siahaan, Rismon Sianipar
Издательство: Balige Publishing
Год: July 2023
Страниц: 525
Язык: английский
Формат: epub (true)
Размер: 18.4 MB

In this project, we will perform an analysis and prediction task on stroke data using Machine Learning and deep learning techniques. The entire process will be implemented with Python GUI for a user-friendly experience. We start by exploring the stroke dataset, which contains information about various factors related to individuals and their likelihood of experiencing a stroke. We load the dataset and examine its structure, features, and statistical summary. Next, we preprocess the data to ensure its suitability for training machine learning models. This involves handling missing values, encoding categorical variables, and scaling numerical features. We utilize techniques such as data imputation and label encoding. To gain insights from the data, we visualize its distribution and relationships between variables. We create plots such as histograms, scatter plots, and correlation matrices to understand the patterns and correlations in the data. To improve model performance and reduce dimensionality, we select the most relevant features for prediction. We employ techniques such as correlation analysis, feature importance ranking, and domain knowledge to identify the key predictors of stroke. With the models trained and saved, we move on to implementing the Python GUI. We utilize PyQt libraries to create an interactive graphical user interface that provides a seamless user experience. The GUI consists of various components such as buttons, checkboxes, input fields, and plots. These components allow users to interact with the application, select prediction models, and visualize the results.