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Explore software web application architecture, API testing, coding practices, and the standards for better API test automation development and management. This book focuses on aspiring software testing engineers currently working in API testing, and those starting their journey in the field of software testing.
You’ll begin with an introduction to API testing and software web applications involving APIs. The book then moves on to the authentication standards used in the...
Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.
The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you t...
Get started with blockchain development with this step-by-step guide. This book takes you all the way from installing requisite software through writing, testing, and deploying smart contracts.
Getting Started with Ethereum delves into technologies most closely associated with Ethereum, such as IPFS, Filecoin, ENS, Chainlink, Truffle, Ganache, OpenZeppelin, Pinata, Fleek, Infura, Metamask, and Opensea. Author Davi Bauer walks you through project creation, how to compile...
Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geod...
This book provides a holistic and comprehensible view of the entire software development process, including ongoing evolution and support. It treats development as a collaborative effort with triad communication between a tester, a programmer, and a representative from the user community or a Subject Matter Expert (SME).
Progress is measured by user acceptance in each cycle before proceeding to the next step of activity. There is no test stage in this model: continuous ...
Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps). This book provides in-depth coverage, including operations and technical aspects. The fundamentals of machine learning (ML) and artificial intelligence (AI) that form the core of AIOps are explained as well as the implementation of multiple AIOps uses cases using ML algorithms.
The book begins with an overview of AIOps, covering its relevance and benefits in the current IT operations la...
Design and deploy an operator for personal use and public distribution and get to grips with writing, packaging, and distributing a basic operator for a Kubernetes cluster
Key Features
Develop a holistic understanding of operators and the Operator Framework
Learn to design and develop your own operators as per industry standards
Find out how to implement best practices and troubleshoot Kubernetes operators
Book Description
From incomplete collections of kno...
What will you learn from this book?
Many people who use Git rely on “recipes”–basic copy-paste commands–without understanding how this version control system actually works. But what do you do if you find yourself in a tight spot? You can’t simply wing it. With this unique hands-on guide, you’ll learn valuable ways to use Git in many different situations. Raju Gandhi peels back the layers to reveal the simple yet powerful engine that powers Git, with activities that hel...
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.
This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addi...
Automated Machine Learning in Action teaches you to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input.
Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and Keras Tuner. Automated Machine Learning in Action, filled with hands-on examples and written in an access...
This book bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance.
Author: Chris Kelliher
Length: 664 pages
Edition: 1
Language: English
Publisher: Chapman & Hall
Publication Date: 2022-05-20
ISBN-10: 1032014431
ISBN-13: 9781032014432
[downlo...
For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That’s where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don’t have the time (or expertise) to resolve MySQL problems from scratch.
In this updated fourth edition, author...
