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KnockoutJS Essentials
Author: Jorge Ferrando
language: en
Publisher: Packt Publishing Ltd
Release Date: 2015-02-27
If you are a JavaScript developer who has been using DOM manipulation libraries such as Mootools or Scriptaculous, and you want go further in modern JavaScript development with a simple and well-documented library, then this book is for you. Learning how to use Knockout will be perfect as your next step towards building JavaScript applications that respond to user interaction.
AWS Certified Machine Learning Study Guide
Author: Shreyas Subramanian
language: en
Publisher: John Wiley & Sons
Release Date: 2021-11-19
Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learning business solutions. The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture. From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam. You’ll also find: An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science Access to the Sybex online learning resources and test bank, with chapter review questions, a full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.
Sustainable Cloud Development
Author: Parth Girish Patel
language: en
Publisher: Packt Publishing Ltd
Release Date: 2025-03-28
Reduce cloud costs and carbon footprint with sustainable design, GenAI, and green architecture principles Key Features Discover sustainable cloud practices, including carbon footprint analysis, optimization, and security Explore best practices, insights, and case studies for implementing sustainable solutions like generative AI workloads Learn cost-saving strategies through efficient resource use and business alignment Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by three seasoned AWS solution architects, sustainability mentors, and thought leaders, Sustainable Cloud Development equips cloud professionals with actionable strategies to design, build, and optimize workloads that minimize environmental impact, while maintaining performance and scalability. This book combines practical insights, best practices, and case studies to help you align your cloud operations with global sustainability goals. From foundational concepts such as carbon footprint measurement to advanced techniques such as sustainable software architecture, generative AI lifecycle optimization, and cost-efficient cloud practices, this book covers every aspect of sustainable cloud development. You’ll get to grips with key tools, including AWS Cost Explorer, for analyzing costs and usage over time to right-size deployments; auto scaling for automatically scaling compute resources dynamically based on demand; Amazon Trusted Advisor for reviewing optimization recommendations across critical areas such as cost, performance, and security; and Amazon CloudWatch for detailed monitoring and threshold-based alerting around all resources and applications. This book serves as a practical blueprint for optimizing your cloud workloads for both high performance and a minimal environmental footprint.What you will learn Explore the principles of sustainable cloud computing and application performance analysis Discover best practices for data lifecycle management, storage optimization, and networking efficiency Understand and analyze the carbon footprint of cloud applications Implement sustainable software architecture and coding patterns Optimize the lifecycle and consumption of generative AI models Align cloud services with sustainability goals and global regulations Explore eco-friendly generative AI practices, including efficient model deployment Who this book is for This book is for cloud architects, engineers, DevOps professionals, and IT sustainability specialists who want to align their cloud practices with environmental goals. It also caters to software developers eager to build green, efficient solutions. A basic understanding of cloud services and IT infrastructure is necessary.