Power Platform and Dynamics 365 CE for Absolute BeginnersThis is your complete guide to less-code and no-code theories, along with practical application of Microsoft Power Apps and Dynamics 365 CE/CRM Apps.
The book covers topics including the configurations, customizations, and enhancements in Microsoft Power Apps and Dynamics 365 CE/CRM Apps. You will start by learning Microsoft Dataverse concepts followed by Microsoft Canvas Apps, model-driven apps, and PowerApps Portals. You will understand how to work with Power Virtual Agent, Power BI, and Power Automate, and how to use AI in Power Apps. The book provides important integration concepts for Power Apps, Dynamics 365 CE/CRM Apps, and Microsoft Azure. You will know how to customize Dynamics 365 CE/CRM Apps and Power Apps using OOTB capabilities.
After reading this book, you will understand how Microsoft Power Apps and Dynamics 365 CE/CRM Apps can be used, configured, and customized for your business needs using customer data. You will be able to increase efficiency in customer data m ...
Efficient GoWith technological advancements, fast markets, and higher complexity of systems, software engineers tend to skip the uncomfortable topic of software efficiency. However, tactical, observability-driven performance optimizations are vital for every product to save money and ensure business success.
With this book, any engineer can learn how to approach software efficiency effectively, professionally, and without stress. Author Bartłomiej Płotka provides the tools and knowledge required to make your systems faster and less resource-hungry. Efficient Go guides you in achieving better day-to-day efficiency using Go. In addition, most content is language-agnostic, allowing you to bring small but effective habits to your programming or product management cycles. ...
Explainable AI for PractitionersMost intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does.
Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you'll be able to apply these tools more easily in your daily workflow. ...
Version Control with Git, 3rd EditionTrack, branch, merge, and manage code revisions with Git, the free and open source distributed version control system. Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions. You'll learn how to work with everything from small to very large projects with speed and efficiency.
In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach. You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow. Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood. ...
API Traffic Management 101The aim of this short book is to introduce the general themes, challenges, and opportunities in the world of managing API traffic. Most of the examples and recommendations come from my own experience (or that of colleagues) while working with customers, ranging from small local startups to global enterprises.
This book is for those just getting started in API traffic management as well as those who have experience and want to review the basics and take your work to the next level. Developers who are responsible for creating and maintaining APIs will learn how network admins and those charged with enabling API traffic collection identify and track key API activity. And admins who design and maintain API traffic metrics can learn how to align and enrich traffic collection to support and inform API developers.
And you don't need to be a traffic management practitioner to extract value from this book. I also spend time focusing on the business value of good API traffic practice, incl ...
Machine Learning Engineering on AWSThere is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage to meet various data engineering and ML engineering requirements in production.
This machine learning book covers the essential concepts as well as step-by-step instructions that are designed to help you get a solid understanding of how to manage and secure ML workloads in the cloud. As you progress through the chapters, you'll discover how to use several container and serverless solutions when training and deploying TensorFlow and PyTorch deep learning models on AWS. You'll also delve into proven cost optimization techniques as well as data privacy and model privacy preservation strategies in detai ...
Quantum Machine Learning and Optimisation in FinanceWith recent advances in quantum computing technology, we finally reached the era of Noisy Intermediate-Scale Quantum (NISQ) computing. NISQ-era quantum computers are powerful enough to test quantum computing algorithms and solve hard real-world problems faster than classical hardware.
Speedup is so important in financial applications, ranging from analysing huge amounts of customer data to high frequency trading. This is where quantum computing can give you the edge. Quantum Machine Learning and Optimisation in Finance shows you how to create hybrid quantum-classical machine learning and optimisation models that can harness the power of NISQ hardware.
This book will take you through the real-world productive applications of quantum computing. The book explores the main quantum computing algorithms implementable on existing NISQ devices and highlights a range of financial applications that can benefit from this new quantum computing paradigm.
This book will help you be one of t ...
Deep Learning for Natural Language ProcessingDeep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaijmakers distills his extensive knowledge into useful best practices, real-world applications, and the inner workings of top NLP algorithms.
Deep learning has transformed the field of natural language processing. Neural networks recognize not just words and phrases, but also patterns. Models infer meaning from context, and determine emotional tone. Powerful deep learning-based NLP models open up a goldmine of potential uses.
Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You'll learn to use ...
AWS for Non-EngineersAWS for Non-engineers is for anyone just starting with Amazon Web Services or cloud computing in general - whether you're in customer service, marketing, or management. It's written by Hiroko Nishimura, and is based on her acclaimed video courses that have been taken by over 300,000 learners. In this reader-friendly book, you'll learn how to talk about cloud concepts with engineers, what the cloud could do for your business, and how to start using AWS's amazing services for your own IT tasks. When you're finished, you'll be comfortable with the basics of cloud computing on AWS and you'll be prepared to take the AWS Certified Cloud Practitioner Exam!
Millions of companies use Amazon Web Services (AWS) to share documents, run business applications, and store important data. Learning the basics of AWS is a required skill, and this book makes it easy! There's no geeky jargon nor complex code - just crystal-clear explanations of the AWS features you'll use every day. You'll even get tips ...
Developing on AWS with C#Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS.
Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective. ...