Название: Kubernetes Application Developer (CKAD): Exam Cram Notes: Second Edition - 2022
Автор: IPSpecialist
Издательство: IP Specialist
Год: 2022
Страниц: 97
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.8 MB

DevOps is a combination of cultural principles, practices, and technologies that help organizations build high-speed applications and services, allowing them to innovate and enhance products faster than conventional software development and infrastructure management approaches. Because of this speed, businesses can better serve their customers and stay ahead of competitors. Kubernetes, often known as K8s, is an open-source system for automating containerized applications' deployment, scaling, and administration. In essence, it is a container orchestration system. While there are other orchestration tools available, Kubernetes is the most popular one. It offers a unified API interface for managing even the most complex systems distributed across various servers and platforms. Kubernetes merely requires a broad outline of how you want your cluster to function. This framework is often a simple manifest file sent to Kubernetes using a command-line interface tool. Kubernetes and DevOps are, without a doubt, the cloud's power duo! For businesses trying to create complex applications, they work hand in hand. Today's software development cycles are getting shorter and shorter, but application sizes are growing larger and larger. Software developers and businesses are looking for a more straightforward solution. As a result, a technique known as DevOps was created to facilitate the development and delivery of software. Containers make hosting and managing the lifecycle of web applications in a portable environment much easier.

Название: Python Programming for Beginners: 8 in 1: The Ultimate Step-by-Step Guide to Create Your Business Projects Immediately
Автор: Chad Knowles
Издательство: Independently published
Год: November 1, 2022
Страниц: 246
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.07 MB

Do you want to learn Python Machine Learning and start implementing models? Are you looking to learn Data Science and how to leverage Python for it? In this book, you can learn all about Python Machine Learning, Data Science, data analysis, and programming. Once you get the hang of the basics, this crash course will help you use all this knowledge for practical tasks and start programming in seven days! This is a complete Python guide with 8 sections. An excellent opportunity for you: simplicity, a wide selection of topics to learn, practical exercises, and quick and selected examples. Although Python is more known as a programming language, it has become a consistently popular tool for data analytics. In recent years, several libraries have reached maturity thereby permitting Stata and R users to take advantage of the flexibility, performance, and beauty of Python without having to sacrifice the functionalities gathered by the older programs over the years. In this book, we will take a look at introducing the social science and data analysis applications of Python. This book is particularly tailored for those users that have little or no programming experience of note. It will be especially useful for these programmers who wish to get things done and have a lot of experience in programs such as Stata and R. The greatest reason for learning Python also happens to be the hardest to explain to someone who is just beginning his work in Python. Python is superbly designed in terms of structure and syntax; it is intuitive; however, very powerful general-purpose programming language. Python's main advantage lies in how easy it is. For these kinds of things, you need an easy language. A harder one will generally take quite a large toll on your ability to program and analyze data.

Название: Diagnosis of Neurological Disorders Based on Deep Learning Techniques
Автор: Jyotismita Chaki
Издательство: CRC Press
Год: 2023
Страниц: 237
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB

This book is based on Deep Learning approaches used for the diagnosis of neurological disorders, including basics of Deep Learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included. A particular focus is placed on the application of feed-forward neural networks, deep generative models ( e.g., stacked auto- encoders, deep belief networks, deep Boltzmann machine, and generative adversarial networks), convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. The theory behind each Deep Learning architecture will be supported by practical examples (case studies) in this book.

Название: Integer Optimization and its Computation in Emergency Management
Автор: Zhengtian Wu
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 298
Язык: английский
Формат: pdf
Размер: 10.8 MB

Studies on integer optimization in emergency management have attracted engineers and scientists from various disciplines such as management, mathematics, computer science, and other fields. Although there are a large number of literature reports on integer planning and emergency events, few books systematically explain the combination of the two. Researchers need a clear and thorough presentation of the theory and application of integer programming methods for emergency management. Integer Optimization and its Computation in Emergency Management investigates the computation theory of integer optimization, developing integer programming methods for emergency management and explores related practical applications. Pursuing a holistic approach, this book establishes a fundamental framework for this topic, intended for graduate students who are interested in operations research and optimization, researchers investigating emergency management, and algorithm design engineers working on integer programming or other optimization applications. The main contribution of this study is developing a deterministic annealing neural network method that aims to obtain an approximated solution of graph partitioning.

Название: Computational Methods and Deep Learning for Ophthalmology
Автор: D. Jude Hemanth
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 354
Язык: английский
Формат: pdf
Размер: 17.9 MB

Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye. Chapters cover computational approaches for diagnosis and assessment of a variety of ophthalmologic abnormalities. Computational approaches include topics such as Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified/hybrid Artificial Neural Networks. Ophthalmological abnormalities covered include Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. This study explores the classification process using three CNNs, CifarNet, AlexNet, and GoogLeNet. The CNNs are examined for two different diseases Thoraco-abdominal lymph node and interstitial lung disease classification. This study shows that limited datasets can cause bottleneck problems. Therefore, large-scale annotated datasets can be beneficially classified using transfer learning models.

Название: Genetic Programming Theory and Practice XIX
Автор: Leonardo Trujillo · Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf
Издательство: Springer
Год: 2023
Страниц: 272
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based Machine Learning paradigm. Topics of particular interest for this year´s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research. We present a GUI-driven and efficient Genetic Programming (GP) and AI Planning framework designed for agent-based learning research. Our framework, ABL-Unity3D, is built in Unity3D, a game development environment.

Название: Algorithm and Design Complexity
Автор: Anli Sherine, Mary Jasmine, Geno Peter, S. Albert Alexander
Издательство: CRC Press
Год: 2023
Страниц: 196
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time-space trade-off, symptotic notations, and so forth. It further includes algorithms that are definite and effective, known as computational procedures. Further topics explored include divide-and-conquer, dynamic programming, and backtracking. The three main objectives of this book are to raise awareness of the impact that algorithms can have on the effectiveness of a program, enhance algorithm design skills, and develop the abilities required to analyze any algorithms that are utilized in programs. Today’s commercial goods give the impression that some software developers don’t give space and time efficiency any thought. They anticipate that if a program uses too much memory, the user will purchase additional memory. They anticipate that if an application takes too long, the customer will get a faster machine. This book is aimed at graduate students and researchers in Computers Science, Information Technology (IT), and electrical engineering.

Название: R Statistics
Автор: D. K. Samuel
Издательство: NIPA
Год: 2020
Страниц: 124
Язык: английский
Формат: pdf (true)
Размер: 28.5 MB

This book will help its readers to learn the first step of R statistics as it will help its readers to sit before the computer and to enter the commands, Practice makes perfect and the best way to learn R is to work with it and ask questions when you don’t get the results. My aim in writing this short book is to enable an average student like me to graph and chart the data in an understandable and analytically correct manner using R. I have a wild dream, that high school students to Post-Doctoral researchers of all fields will use R and that this book will help them learn the first steps, so I decided not to write extra and not to repeat what was already available on the internet/print. You may feel that the book is fast paced, Yes it is, it is meant to be read sitting before a PC and to enter the commands. Practice makes perfect and the best way to learn R is to work with it and ask questions when you don’t get the results. Hope this book on R will help you to start on a journey of discovery with R.

Название: Kubernetes Security Specialist (CKS): Exam Cram Notes: First Edition - 2022
Автор: IPSpecialist
Издательство: IP Specialist
Год: 2022
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Our exam cram notes are a concise bundling of condensed notes of the complete exam blueprint. It is an ideal and handy document which provide you a quick view of the technological concepts related to the certification exam. DevOps is a combination of cultural principles, practices, and technologies that help organizations build high-speed applications and services, allowing them to innovate and enhance products faster than conventional software development and infrastructure management approaches. Because of this speed, businesses can better serve their customers and stay ahead of competitors. Kubernetes, often known as K8s, is an open-source system for automating containerized applications' deployment, scaling, and administration. In essence, it is a container orchestration system.

Название: Python Django For Web Development: Build Web Applications In Python Using Django Framework
Автор: Emenwa Global
Издательство: Emenwa Global
Год: 2022
Страниц: 142
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Welcome to the future. Reading this Django book is the best decision you will ever make this year. Python programming is taking over the world. The world of the web is more than impressive. You are here because you are interested in website development. Django is exciting if you are interested in building websites. Django is a framework for making websites. It saves you a lot of time and makes building websites easier and more fun. Django makes it easy to build and maintain high-quality web applications. Web development is a creative journey, fun-filled and full of adventure, with enough stress to last a day! Django lets you focus on your web application's fun and critical parts while making the boring parts easier. In other words, it makes it easier to create common programming tasks and abstract common web development patterns. It also gives clear rules for how to solve problems. It does all these things and allows you to work outside the framework's scope when needed. My goal with this book is to help you learn and master Django. I want you to go as far as you possibly want to go in and understand the Django web framework.