Other books that might interest you

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  Before I Begin: A Manifesto on...

  Hatem Helmy

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  Before I Begin: A Manifesto on Humanity's Reckoning and the End of the World is not just another book about apocalypse. It is a bold philosophical and scientific exploration of the greatest threats humanity has ever faced—and the hidden patterns that link our past extinctions to the dangers of today. 
  From the cataclysmic asteroid that wiped out the dinosaurs to the looming possibility of nuclear war, from supervolcanoes and gamma-ray bursts to engineered viruses and runaway artificial intelligence, this manifesto examines how fragile our existence truly is. But beyond the science of survival, it confronts the uncomfortable truth: that corruption, inequality, and the failures of the global system may be the gravest threats of all. 
  In powerful, provocative prose, Hatem Helmi weaves together history, philosophy, and cutting-edge science to reveal a vision of humanity standing on the edge of transformation. Will we collapse into chaos, or will we seize the chance to build a more just and resilient world? 
  For readers of Yuval Noah Harari, Stephen Hawking, and Jared Diamond, this book is both a warning and a manifesto—a call to awaken, to question, and to act before it is too late. 
  This is not the end. It is the beginning of a reckoning. 

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  HowExpert Guide to Moths - 101+...

  HowExpert, Jessica Dumas

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  HowExpert Guide to Moths written by Jessica Dumas is a guidebook that is packed with more than 101+ fun facts and tips to learn about moths. In this guidebook, you will learn everything you ever wanted to know about moths. In addition, this book will be an eye-opener as to how important they are and why they should be appreciated as much as the butterflies. 
  This guidebook has more about moths than an encyclopedia and is much easier to understand. It is not an official field guide normally used for identifying moths; however, you can use it along with your field guide for additional details that may not be in a field guide. You can use this book to teach children or anyone else interested in learning about moths. Some of the topics of this guidebook are as follows: 
  - Tips on who belongs to the Lepidoptera family 
  - Tips on distinguishing a moth from a butterfly 
  - Tips on how to identify different types of moths 
  - Moth life cycle and stages of metamorphosis 
  - Descriptions of body parts and their functions 
  - Learn why moths are attracted to lights 
  - Learn how to repel moths in your closets 
  - Learn why there’s a decline in moth population 
  - Learn important reasons why moths matter 
  - Learn how moths act as a gauge for the ecosystem 
  - Tips on things you can do to help save moths 
  - Tips on growing a moon garden for moths 
  - Tips on being a moth-er and going mothing 
  - Tips on science careers of studying moths 
  - Tips on educating children and others about moths 
  There are several more fascinating topics included that will be fun to explore. You will not find other resources that compile all the most interesting and educational information about moths in one organized source like this book. 
  About the Author 
  Jessica Dumas is a freelance writer who was inspired to write about butterflies and moths because of her love for them.

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  Analytics the Right Way - A...

  Dr. Joe Sutherland, Tim Wilson

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  Organizations have more data at their fingertips than ever, and their ability to put that data to productive use should be a key source of sustainable competitive advantage. Yet, business leaders looking to tap into a steady and manageable stream of "actionable insights" often, instead, get blasted with a deluge of dashboards, chart-filled slide decks, and opaque machine learning jargon that leaves them asking, "So what?" 
   
   
   
  Analytics the Right Way is a guide for these leaders. It provides a clear and practical approach to putting analytics to productive use with a three-part framework that brings together the realities of the modern business environment with the deep truths underpinning statistics, computer science, machine learning, and artificial intelligence. The result: a pragmatic and actionable guide for delivering clarity, order, and business impact to an organization's use of data and analytics. 
   
   
   
  The book uses real-world examples from the authors' direct experiences—working inside organizations, as external consultants, and as educators—to empower the listener to put foundational analytical and statistical concepts to effective use in a business context.

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  Ultimate Azure Data Engineering...

  Ashish Agarwal

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  Discover the world of data engineering in an on-premises setting versus the Azure cloud
  
  Book Description
  Embark on a comprehensive journey into Azure data engineering with “Ultimate Azure Data Engineering”. Starting with foundational topics like SQL and relational database concepts, you'll progress to comparing data engineering practices in Azure versus on-premises environments. Next, you will dive deep into Azure cloud fundamentals, learning how to effectively manage heterogeneous data sources and implement robust Extract, Transform, Load (ETL) concepts using Azure Data Factory, mastering the orchestration of data workflows and pipeline automation. 
  The book then moves to explore advanced database design strategies and discover best practices for optimizing data performance and ensuring stringent data security measures. You will learn to visualize data insights using Power BI and apply these skills to real-world scenarios. 
  Whether you're aiming to excel in your current role or preparing for Azure data engineering certifications, this book equips you with practical knowledge and hands-on expertise to thrive in the dynamic field of Azure data engineering. 
  Table of Contents
  
  1. Introduction to Data Engineering
  2. Understanding SQL and RDBMS Concepts
  3. Data Engineering: Azure Versus On-Premises
  4. Azure Cloud Concepts
  5. Working with Heterogenous Data Sources
  6. ETL Concepts
  7. Database Design and Modeling
  8. Performance Best Practices and Data Security
  9. Data Visualization and Application in Real World
  10. Data Engineering Certification Guide   
  Index

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  Reimagining Government -...

  Faisal Hoque, Thomas H....

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  How AI can help the government lead with speed, trust, and impact.Artificial Intelligence is reshaping what is possible across every sector—and public service is no exception. Reimagining Government is a bold, practical playbook for harnessing AI to deliver smarter, faster, and more effective outcomes. Inside, you'll find: 
  · Clear breakdowns of AI opportunities and challenges in the government space 
  · Proven frameworks and maturity models for responsible, scalable adoption 
  · Insights and examples from real-world government innovators 
  · Strategies to transform leadership, culture, and public impactWritten for policymakers, technologists, and civic leaders, this book is a guide to making AI work—for people as well as for systems.

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  Ultimate Machine Learning with...

  Kalicharan Mahasivabhattu

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  “Empower Your . NET Journey with Machine Learning”
  Book Description
  Dive into the world of machine learning for data-driven insights and seamless integration in . NET applications with the Ultimate Machine Learning with ML. NET. 
  The book begins with foundations of ML. NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML. NET, exploring classification, regression, and clustering with its versatile functionalities. 
  It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML. NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse. 
  The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML. NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications. 
  
  Table of Contents
  
  1. Introduction to ML. NET
  2. Installing and Configuring ML. NET
  3. ML. NET Model Builder and CLI
  4. Collecting and Preparing Data for ML. NET
  5. Machine Learning Tasks in ML. NET
  6. Choosing and Tuning Machine Learning Algorithms in ML. NET
  7. Inspecting and Interpreting ML. NET Models
  8. Saving and Loading Models in ML. Net
  9. Optimizing ML. NET Models for Accuracy
  10. Deploying ML. NET Models with Azure Functions and Web API   
  Index

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