Building Green Software: A Sustainable Approach to Software Development and Operations Audiobook by Anne Currie

Building Green Software: A Sustainable Approach to Software Development and Operations Audiobook by Anne Currie

Listen to the full audiobook free with a 30-day free trial : https://esound.space/full [https://esound.space/full] ID: 811707 Title: Building Green Software: A Sustainable Approach to Software Development and Operations Author: Anne Currie, Sara Bergman, Sara Hsu Narrator: Cindy Kay Format: Unabridged Length: 09:00:00 Language: English Release date: 12-24-24 Publisher: Ascent Audio Genres: Science & Technology, Computers Summary: How will software development and operations have to change to meet the sustainability and green needs of the planet? And what does that imply for development organizations? In this eye-opening book, Anne Currie, Sarah Hsu, and Sara Bergman provide a unique overview of this topic—discussing everything from the likely evolution of national grids to the effect those changes will have on the day-to-day lives of developers. Ideal for everyone from new developers to CTOs, Building Green Software tackles the challenges involved and shows you how to build, host, and operate code in a way that's not only better for the planet but also cheaper and relatively low-risk for your business. Most hyperscale public cloud providers have already committed to net-zero IT operations by 2030. This book shows you how to get on board. You'll explore: ● How the energy transition is likely to change hosting on prem and in the cloud—and how your company can prepare ● The fundamental architectural principles of sustainable software development and how to apply them ● How to determine which parts of your system need to change ● The concept of extending hardware longevity and the part that software plays Contact: info@esound.space

Spatial Computing: An AI-Driven Business Revolution Audiobook by Cathy Hackl

Listen to the full audiobook free with a 30-day free trial : https://esound.space/full [https://esound.space/full] ID: 811721 Title: Spatial Computing: An AI-Driven Business Revolution Author: Cathy Hackl, Irena Cronin Narrator: Randye Kaye Format: Unabridged Length: 07:30:00 Language: English Release date: 11-26-24 Publisher: Ascent Audio Genres: Business & Economics, Management & Leadership Summary: The next phase of the internet—multimodal, vision-enabled AI that will transform society Written by Irena Cronin, renowned consultant in the immersive space, and Cathy Hackl, globally recognized tech and gaming executive, futurist, and speaker, Spatial Computing: An AI-Driven Business Revolution reveals exclusive insider knowledge of what's happening today in the convergence of AI and spatial computing. Spatial Computing is an evolving 3D-centric form of computing that uses AI, Computer Vision, and extended reality to blend virtual experiences into the physical world, breaking free from screens into everything you can see, experience, and know. This book includes coverage of: ● The new paradigm of human-to-human and human-computer interaction, enhancing how we visualize, simulate, and interact with data in physical and virtual locations ● Navigating the world alongside robots, drones, cars, virtual assistants, and beyond—without the limitation of just one technology or device ● Insights, tools, and illustrative use cases that enable businesses to harness the convergence of AI and spatial computing today and in the decade to come via both hardware and software Contact: info@esound.space

Investing in Cryptocurrencies and Digital Assets: A Guide to Understanding Technologies, Business Models, Due Diligence, and Valuation Audiobook by Keith H. Black

Listen to the full audiobook free with a 30-day free trial : https://esound.space/full [https://esound.space/full] ID: 811693 Title: Investing in Cryptocurrencies and Digital Assets: A Guide to Understanding Technologies, Business Models, Due Diligence, and Valuation Author: Keith H. Black Narrator: Daniel Henning Format: Unabridged Length: 14:00:00 Language: English Release date: 11-26-24 Publisher: Ascent Audio Genres: Business & Economics, Career Development, Management & Leadership Summary: In Investing in Cryptocurrencies and Digital Assets, alternative investments expert Dr. Keith Black delivers a compelling and straightforward roadmap for analyzing, valuing, and investing in crypto and other digital assets. You'll learn how to buy crypto directly—and how to keep your new digital assets safe from hacks and fraud—and how to invest indirectly, using stocks, futures, options, and exchange-traded funds. You'll also discover how to conduct extensive due diligence to reduce technology and compliance risks, as well as how to understand the business models that underlie and power these novel technologies. The book also offers: ● Accessible discussions of and introductions to blockchain and distributed ledger technology, stablecoins, Bitcoin, Ethereum, and other foundational concepts ● Ways to differentiate between investing in digital assets for the long term and risky, short-term speculation An essential new playbook for institutional, professional, and retail investors involved with digital assets and cryptocurrency, Investing in Cryptocurrencies and Digital Assets is the comprehensive and up-to-date guide to the sector that you've been waiting for. Contact: info@esound.space

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications Audiobook by Shreyas Subramanian

Listen to the full audiobook free with a 30-day free trial : https://esound.space/full [https://esound.space/full] ID: 811712 Title: Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications Author: Shreyas Subramanian Narrator: Daniel Henning Format: Unabridged Length: 09:00:00 Language: English Release date: 11-19-24 Publisher: Ascent Audio Genres: Science & Technology, Computers Summary: In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: ● Effective strategies to address the challenge of the high computational cost associated with LLMs ● Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques ● Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Contact: info@esound.space

Effective Machine Learning Teams: Best Practices for ML Practitioners Audiobook by Ada Leung

Listen to the full audiobook free with a 30-day free trial : https://esound.space/full [https://esound.space/full] ID: 811724 Title: Effective Machine Learning Teams: Best Practices for ML Practitioners Author: Ada Leung, David Colls, David Tan Narrator: Ray Greenley Format: Unabridged Length: 15:00:00 Language: English Release date: 11-12-24 Publisher: Ascent Audio Genres: Science & Technology, Computers Summary: Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products. Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help your team avoid common traps in the ML world, so you can iterate and scale more quickly and reliably. You'll learn how to: ● Write automated tests for ML systems, containerize development environments, and refactor problematic codebases ● Apply MLOps and CI/CD practices to accelerate experimentation cycles and improve reliability of ML solutions ● Apply Lean delivery and product practices to improve your odds of building the right product for your users ● And more Contact: info@esound.space