Название: Artificial Intelligence in Precision Health: From Concept to Applications
Автор: Debmalya Barh, PhD
Издательство: Academic Press, Elsevier
Год: 2020
Страниц: 530
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand Artificial Intelligence (AI) and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, Big Data analysis, clinical decision support systems, Deep Learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Computational approaches such as genetic algorithm, support vector machines, artificial neural network, decision trees, natural language processing, hybrid methods, cognitive computing, etc., introduced Artificial Intelligence (AI) into health care, which became a game changer in personalized medicine or precision health care in terms of time, cost, and personalization.

Название: Handbuch Infrastructure as Code: Prinzipien, Praktiken und Patterns für eine cloudbasierte IT-Infrastruktur
Автор: Kief Morris
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 450
Язык: немецкий
Формат: pdf, epub
Размер: 12,7 MB

Cloud-Infrastrukturen erfolgreich automatisieren: Strategien für die Praxis. In diesem praktischen Handbuch beschreibt Kief Morris von ThoughtWorks, wie Sie Ihre IT-Infrastruktur im Cloud-Zeitalter erfolgreich aufsetzen und betreiben. Sie erfahren, wie Sie hierfür die von zahlreichen DevOps-Teams entwickelten und erprobten Prinzipien, Praktiken und Patterns nutzen können.

Название: Data Structure and Algorithmic Thinking: Self-Driving Car
Автор: Khoo Kay Yong
Издательство: E-Learn Dot Com Limited
Серия: Coding with Micro:bits
Год: 2021
Страниц: 133
Язык: английский
Формат: pdf, epub
Размер: 16.4 MB

Data Structure is a way of collecting and organising data in such a way that we can perform operations on these data in an effective way. Data structure is about rendering data elements in terms of some relationship, for better organisation and storage. For example, we have some data which has, distance and location in the example. The "location" is of String data type and distance is of integer data type. An algorithm is a method to solve problem that consists of exactly a list of rules with a well-defined sequence to follow in order to solve the problem. Algorithmic thinking consists a pool of abilities: to analyse a given problem, to specify the problem precisely, to find the basic actions that are adequate to the given problem, to construct a correct algorithm to a given problem using the workable actions, to think about all possible cases of a problem and to improve the efficiency of an algorithm. In this module, Algorithm Skills and Data Structure are added into a story. The learners will apply their algorithmic thinking skills to analyse the movement of a robot, i.e., the beginning and the ending, to specify the steps and the directions of the movements, then he/she will code the robot and to execute and find out the answers.

Название: Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles 2020
Автор: Narasimha Karumanchi
Издательство: CareerMonk Publications
Год: 2020
Страниц: 436
Язык: английский
Формат: pdf
Размер: 10.2 MB

The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms. In this book, we cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews.

Название: Introduction to TensorFlow Using Python
Автор: Soam Desai
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 126
Язык: английский
Формат: pdf, azw, epub
Размер: 10.7 MB

Introduction to TensorFlow Using Python provides an introduction to using TensorFlow with Python in easy bite sized pieces that any beginner or novice can understand. Filled with simple and straightforward working examples, the book aims to introduce the reader to the wonderful world of machine learning. Follow along for an adventure in coding and solving problems! This book is meant for the beginner who has some basic coding knowledge; however, if you don’t have any coding experience, you can still tag along and learn a thing or two. This book guides you through the entire process. The TensorFlow website defines TensorFlow as an “end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications”. TensorFlow has been used by many professionals around the globe and is the most popular deep learning/machine learning library to date. The library is available in many different programming languages, but we are going to be using the Python library because we’re going to be using Python.

Название: Cyber Security: Python for Penetration Testing
Автор: Travis Lothar Czech
Издательство: Solis Indago
Год: 2021
Страниц: 107
Язык: английский
Формат: pdf, azw, epub
Размер: 15.2 MB

If you have ever been interested in getting into hacking, cyber security, or computer programming this is the book to start with. This book covers the fundamentals of cybersecurity, information technologies, and computer programming. It will walk you through the steps of writing your first Python script. You will finish off with you first hacking tool. In this book we are going back to the basics, where we will hit some of the theory behind Cyber Security and how they apply to using Python. From there we are going to cover what programming languages are, your first Python program, and then close it off with a couple programs you can include in your own personal Python library.

Название: MATLAB R2007 с нуля
Автор: Хант Б.Р. и др.
Издательство: М.: Лучшие книги
Год: 2008
Cтраниц: 352
Формат: pdf
Размер: 32 мб
Язык: русский

Программа MATLAB представляет собой высокоуровневый технический вычислительный язык и интерактивную среду для разработки алгоритмов, визуализации и анализа данных, числовых расчетов. Используя программу MATLAB, вы можете решать технические вычислительные задачи гораздо быстрее, чем с помощью традиционных языков программирования, таких как С, С++ и Fortran.

Название: Modern C++ Design: Become a Skilled C++ Designer
Автор: StuDenT
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 336
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.2 MB

This book is about programming design. However, unlike many books on this topic, this book teaches design by exploration rather than design by instruction. Typically, most authors writing about some aspect of design establish principles they wish to convey, lay out these principles in the abstract, and then proceed to give examples supporting the current points. This is not such a book. Rather, this book defines a practical problem to be solved, and proceeds to examine its solution in detail. This book is not comprehensive in its coverage of data structures, algorithms, design patterns, or C++ best practices; volumes of books exist to cover these topics. This is a book about learning how to apply this knowledge to write code that is organized, cohesive, sensible, purposeful, and pragmatic. In other words, this book is about learning to write code that both gets the job done now (development) and allows others to continue to get the job done in the future (maintenance). This, I have termed practical design.

Название: jаvascript Coding for Teens: A Beginner's Guide to Developing Websites and Games
Автор: Andrew Yueh
Издательство: Rockridge Press
Год: 2021
Страниц: 437
Язык: английский
Формат: pdf, epub
Размер: 14.4 MB

Everything teens need to get started with jаvascript. Have you ever wanted to make your own game? How about an awesome website? Then jаvascript Coding for Teens is the book for you! It doesn’t matter if you’re not sure what a variable is, are stumped about syntax, or don’t even know how to use jаvascript on your computer! This simple guide to coding for beginners walks you through every part of the process with easy-to-understand language and straightforward directions. You’ll be coding like a pro in no time! We are here to get your feet wet in the world of jаvascript and programming fundamentals.

Название: Python Data Science: The Complete Step-by-Step Python Programming Guide. Learn How to Master Big Data Analysis and Machine Learning (2022 Edition For Beginners)
Автор: Ivor Osborne
Издательство: Amazon.com Services LLC
Год: 2021
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.2 MB

Data Science is currently one of the most popular buzzwords in the business world. Many businesses understand the value of information collection, but because they can collect so much data in such a short period, the real question is: "What is the next step?" Data Science encompasses all of the steps you take with data, such as collecting and cleaning it if it comes from multiple sources, analyzing it, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations. The good news is that the Matplotlib library, which is a NumPy and SciPy extension, can assist us in creating all of them. The Matplotlib library can help you visualize your data as a line graph, a pie chart, a histogram, or in another way.