Название: Python and Machine Learning for Beginners: A complete easy guide to learning Python and Machine Learning in one go!
Автор: Santos Ozoemena
Издательство: Simple Code Publishing
Год: December 27, 2022
Страниц: 435
Язык: английский
Формат: epub, azw3
Размер: 10.1 MB

Are you looking to get started with Python and Machine Learning? Look no further! This comprehensive 2-in-1 bundle is the perfect resource for beginners looking to learn both Python and Machine Learning in one easy guide. With this book, you'll be able to grasp the basic fundamentals of Python and learn how to use it to solve real-world problems. You'll also get a crash course in Machine Learning, including key concepts, algorithms, and techniques. In the Chapter 3, we will look at some of the useful techniques for efficiently loading, storing and manipulating in-memory data in Python. Owing to this cause, good storage and manipulation of numerical arrays is the core of every process in Data Science. Now, there are two specialized tools that Python uses for handling these numerical arrays: the NumPy package, and the Pandas package. In this chapter we will go into the details of the NumPy package.

Название: Applications of Artificial Intelligence in Medical Imaging
Автор: Abdulhamit Subasi
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 381
Язык: английский
Формат: pdf (true)
Размер: 15.3 MB

Artificial Intelligence (AI) plays an important role in the field of medical image analysis, including computer-aided diagnosis, image-guided therapy, image registration, image segmentation, image annotation, image fusion, and retrieval of image databases. With advances in medical imaging, new imaging methods and techniques are needed in the field of medical imaging, such as cone-beam/multi-slice CT, MRI, positron emission tomography (PET)/CT, 3D ultrasound imaging, diffuse optical tomography, and electrical impedance tomography, as well as new AI algorithms/applications. This book offers advanced or up-to-date medical image analysis methods through the use of algorithms/techniques for AI, Machine Learning (ML), and IR. Data/information can be learned through AI, IR, and ML in the form of an image, that is, a collection of pixels, as it is impossible to recruit experts for Big Data. The author of this book has a lot of hands-on experience using Python and MATLAB to solve real-world problems in the context of the ML ecosystem. Applications of Artificial Intelligence in Medical Imaging aims to provide the readers of various skill levels with the knowledge and experience necessary to develop useful AI solutions. Additionally, this book serves as a solution manual for creating sophisticated real-world systems.

Название: Learn jаvascript : Beginners Edition
Автор: Suman Kunwar
Издательство: Leanpub
Год: 2022-12-22
Страниц: 105
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

This book provides a basic understanding of programming and jаvascript. The foundations and core concepts are described in simple terms in an organized manner. In-depth information and notes are provided with examples to understand the topic. Exercises are also present at the end. Learn jаvascript: Beginners Guide will teach you the basics of programming and jаvascript. Whether you are an experienced programmer or not, this book is intended for everyone who wishes to learn the jаvascript programming language.

Название: MATLAB Financial Toolbox User’s Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 3304
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB

Analyze financial data and develop financial models. Financial Toolbox provides functions for the mathematical modeling and statistical analysis of financial data. You can analyze, backtest, and optimize investment portfolios taking into account turnover, transaction costs, semi-continuous constraints, and minimum or maximum number of assets. The toolbox enables you to estimate risk, model credit scorecards, analyze yield curves, price fixed-income instruments and European options, and measure investment performance. Stochastic differential equation (SDE) tools let you model and simulate a variety of stochastic processes. Time series analysis functions let you perform transformations or regressions with missing data and convert between different trading calendars and day-count conventions.

Название: Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network
Автор: Thiruselvan Subramanian, Archana Dhyani, Adarsh Kumar
Издательство: CRC Press
Год: 2023
Страниц: 245
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.1 MB

Quantum computing is a field in which advanced technologies like quantum communication, Artificial Intelligence (AI) and Machine Learning (ML) can be used to secure and speed up connectivity using quantum computers, quantum drones or quantum satellites. This book serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet and climate change mitigation, will need quantum information processing and quantum computation. This book deeply explores the importance of quantum computing in real-time applications. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers. A quantum computer uses quantum circuits, which are made up of wires and quantum gates. Quantum logic gates are used to couple qubits for getting entangled states and long coherent states required for quantum information manipulation. The quantum information is moved around in the wires and then manipulated using quantum gates.

Название: MATLAB Econometrics Toolbox User’s Guide (R2022b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 4162
Язык: английский
Формат: pdf (true)
Размер: 27.3 MB

Model and analyze financial and economic systems using statistical methods. Econometrics Toolbox provides functions for analyzing and modeling time series data. It offers a wide range of visualizations and diagnostics for model selection, including tests for autocorrelation and heteroscedasticity, unit roots and stationarity, cointegration, causality, and structural change. You can estimate, simulate, and forecast economic systems using a variety of modeling frameworks. These frameworks include regression, ARIMA, state-space, GARCH, multivariate VAR and VEC, and switching models. The toolbox also provides Bayesian tools for developing time-varying models that learn from new data. A probabilistic time series model is necessary for a wide variety of analysis goals, including regression inference, forecasting, and Monte Carlo simulation. When selecting a model, aim to find the most parsimonious model that adequately describes your data. A simple model is easier to estimate, forecast, and interpret.

Название: Deep Learning Project for Computer Vision with Python
Автор: Tony Snake
Издательство: Independently published
Год: 2022
Страниц: 297
Язык: английский
Формат: pdf, epub
Размер: 11.5 MB

Learn how to fine-tune the current state-of-the-art EffecientNet V2 model to perform image classification on satellite data (EuroSAT) using TensorFlow in Python. Satellite image classification is undoubtedly crucial for many applications in agriculture, environmental monitoring, urban planning, and more. Applications such as crop monitoring, land and forest cover mapping are emerging to be utilized by governments and companies, and labs for real-world use. Learn how to make a barcode scanner that decodes barcodes and draw them in the image using pyzbar and OpenCV libraries in Python. In this tutorial, you will learn how to build a satellite image classifier using the TensorFlow framework in Python.

Название: Секреты Python: 59 рекомендаций по написанию эффективного кода
Автор: Бретт Слаткин
Издательство: ИД "Вильямс"
Год: 2016
Формат: PDF, DJVU
Страниц: 274
Размер: 20 мб
Язык: Русский

Язык программирования Python обладает уникальными возможностями, осознать которые поначалу не так-то просто. Предыдущий опыт многих программистов, знакомых с другими языками, часто мешает им в полной мере оценить выразительность средств Python и эффективно использовать предлагаемые возможности.

Название: Learning R and Python for Business School Students
Автор: Yuxing Yan
Издательство: Cambridge Scholars Publishing
Год: 2023
Страниц: 703
Язык: английский
Формат: pdf (true)
Размер: 13.3 MB

From this book, readers learn basic concepts and programming skills related to R, and Python, then apply them to finance, accounting, marketing, and other business areas. This is a beginner’s book. In other words, we do not assume that readers have any prior knowledge or skills for R or Python. A reader or student could learn both R and Python within one semester if the book is used as a textbook with a good instructor. On the other hand, if a learner learns both languages by himself/herself, it is a good idea to take two semesters, i.e., at a slow pace. There are three parts of the book: R, Python, and applications of R and Python. If this book is adopted as a textbook, the first two parts are more than enough for one semester. The first 13 chapters are centered on R. Starting from Chapter 14: Python Basics, we will focus on Python. One important feature of the second half of the book is that we constantly compare Python with R. Such a comparison serves two purposes. First, learners/students could refresh their mind about R knowledge and related functions. Second, it is much easier to use the same concept with a different language.

Название: Modern Deep Learning for Tabular dаta: Novel Approaches to Common Modeling Problems
Автор: Andre Ye, Zian Wang
Издательство: Apress
Год: 2023
Страниц: 855
Язык: английский
Формат: pdf
Размер: 51.8 MB

Deep learning is one of the most powerful tools in the modern Artificial Intelligence landscape. While having been predominantly applied to highly specialized image, text, and signal datasets, this book synthesizes and presents novel deep learning approaches to a seemingly unlikely domain – tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data – an incredibly ubiquitous form of structured data. Part I of the book offers a rigorous overview of Machine Learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant Deep Learning model designs – Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks – through both their ‘default’ usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge Deep Learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability. Each chapter comes with extensive visualization, code, and relevant research coverage