Other books that might interest you

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  Agile Project Management with...

  Ben Stephen

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  "Agile Project Management with Kanban: A Proven Framework for Managing Projects, Teams and Deliveries" is a comprehensive guide to implementing the Kanban method in any organization. Originally developed in the manufacturing industry, Kanban is a powerful tool for managing and improving workflows, and it is now widely used in a variety of industries. This book provides a clear and detailed explanation of the Kanban method and its key principles, as well as practical guidance for introducing Kanban to your team and organization. 
  The book begins by defining Kanban and its origins in Lean manufacturing, and comparing it to other Agile methodologies. It then goes on to explain the Kanban board and its components, and the role of Work In Progress (WIP) limits in Kanban. The author provides step-by-step instructions for introducing Kanban to your team and organization, including tips for creating a Kanban board and setting up WIP limits. The book also covers strategies for overcoming resistance to change and managing the flow of work. 
  In addition, the author provides techniques for visualizing and managing the flow of work, discussion of the role of metrics in Kanban, and strategies for identifying and addressing bottlenecks. The book also covers tips for effective communication and collaboration with team members and stakeholders, and strategies for ensuring buy-in and alignment with organizational goals. The author also discusses the role of leadership in Kanban, including the Kanban leadership style and practices that are most effective in a Kanban environment. 
  This book is ideal for project managers, team leaders, product managers, and anyone looking to improve their project management and delivery process. With its clear explanations and practical guidance, this book is an essential resource for anyone looking to implement Kanban in their organization. 
   

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  International Space Station The:...

  Editors Charles River

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  Much has been written about the Space Race, which is still taught across America today, but the story of human space exploration is mostly one of cooperation. Even in the summer of 1969, the Soviets had given the United States the flight plan for its Luna 15 mission, allowing Apollo 11 to avoid it.  
  	That was the first of many examples of cooperation in space between the United States and the Soviet Union during the Cold War, and ultimately, their research and cooperation helped lead to the construction of the International Space Station (ISS), a large space station assembled in Earth’s orbit that represents the most ambitious international space project in history.  
  	Thanks to the various components that have been put together, the International Space Station is bigger and brighter than all other artificial satellites. With relatively low power magnification, people can see the solar panels radiating outward from the numerous international modules which make up the ISS. The reality of that platform, at the edge of the ocean of space, is pretty astounding when looked at from the perspective of history. Only 120 years ago, mankind did not know if it was possible to fly in a heavier-than-air vehicle. Constructed with over 30 different modules and pieces that were carried into orbit by dozens of different launches, the ISS is already over 150 feet long, 300 feet wide and 60 feet tall. Astronauts from 10 nations have spent time on the space station as long-term crew. 
  	In addition, the International Space Station can truly be held as a sign that the Space Age is maturing quite nicely, at least on a social and personal level. A total of 34 women have visited the space station, eight tourists have paid for the privilege of taking the trip to the station, and there have been many who have made multiple trips to the ISS.

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  Data Governance Guide -...

  Brian Paul

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  In the ever-expanding digital landscape, the power and potential of data are immense, but so are the challenges of managing, protecting, and harnessing its value. "Data Governance Guide: Navigating the Seas of Information Management" serves as an indispensable compass for individuals and organizations seeking to master the art of effective data governance. 
  This comprehensive guide begins by laying the groundwork, exploring the foundational elements of data and the evolution of data governance. Readers will gain a deep understanding of data stewardship, quality management, metadata, security, and privacy—all crucial components for building a resilient and efficient data governance framework. 
  Moving beyond theory, the book delves into practical implementation strategies. It offers insights into assembling a robust data governance team, developing policies, and creating essential tools such as a comprehensive data dictionary. Chapters on data quality standards and security measures guide readers through the intricacies of ensuring that their data is not only abundant but also accurate, secure, and compliant with privacy regulations. 
  Highlighting best practices, the guide emphasizes the importance of communication, collaboration, and continuous improvement. Readers will discover how to foster a data-driven culture within their organizations, establish key performance indicators, and instill a commitment to ongoing education and training. 
  "Data Governance Guide" offers a clear and concise roadmap for steering through the complexities of data governance. Equip yourself with the knowledge and strategies needed to harness the full potential of your data while safeguarding its integrity and security. This guide is your companion in the journey to mastering the seas of information management. 
   

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  Machine learning

  Bright Mills

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  Machine Learning (ML) is a subset of Artificial Intelligence that empowers systems to learn from data and make decisions or predictions without being explicitly programmed. It represents a major shift from traditional rule-based programming to systems that adapt and improve over time. This comprehensive guide delves into the theoretical foundations, types, algorithms, tools, applications, challenges, and the future of Machine Learning. It covers supervised, unsupervised, semi-supervised, and reinforcement learning in detail, explains key techniques such as neural networks, decision trees, support vector machines, and deep learning, and explores real-world applications across domains like healthcare, finance, security, and robotics. Ethical concerns, bias in AI, explainability, and interpretability are also discussed, offering a well-rounded understanding of the state and direction of Machine Learning.

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  Organic Gardening and Beekeeping...

  George S Kuhn

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  This book consists of two parts. The first part is for organic gardening and the second is for Beekeeping. Basically, you are getting two books in one. 
  Table of Contents :  
  Section 1: Organic Gardening 
  Introduction 
  Chapter 1: What is Organic Gardening? 
  Chapter 2: Where to Plant? 
  Chapter 3: Choosing What to Plant 
  Chapter 4: Getting What You Need 
  Chapter 5: Aquaponics and Hydroponics 
  Chapter 6: Preparing to Plant 
  Chapter 7: Preparing an Aquaponic or Hydroponic Garden 
  Chapter 8: Combining Indoor and Outdoor Gardening 
  Chapter 9: Managing Your Garden 
  Chapter 10: Knowing When to Harvest 
  Chapter 11: How to sell and find markets for core products 
  Section 2: Beekeeping 
  Chapter 1: Things to Consider Before Getting Started 
  Chapter 2: Tools & Equipment Needed For Beekeepers 
  Chapter 3: Best Location for a Beehive 
  Chapter 4: Setting Up The Beehive 
  Chapter 5: Best practices 
  Chapter 6: How to sell bee Honey 
  Listen to the Audioook Preview Sample and see if this book is for you.  
  You can get this book from all major online book retailers.

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  The Inclusion Equation -...

  Dr. Serena Huang

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  The Inclusion Equation is a comprehensive, one-of-a-kind guide to merging DEI and employee wellbeing concepts with data analytics and AI. In this book, renowned thought leader and professional keynote speaker Dr. Serena H. Huang explains exactly how to quantify the effectiveness of new talent strategies by connecting them to a firm ROI estimate, enabling listeners to approach and win the favor of higher-ups in any organization with the same effectiveness that marketing and financial departments do. 
   
   
   
  This book is written in a style that is appealing and accessible to all listeners regardless of technical background, but with enough depth to provide real insight and strategies. Dr. Huang distills her ten years of Fortune 500 people analytics leadership experience into tools and framework you can leverage to measure and improve DEI and wellbeing in your workplace. Some of the topics explored in this book include how to attract and retain top talent, including Gen Z and Millennials, with tailored DEI and wellbeing strategies; quantifying not only a talent strategy's perceived initial effect on an organization, but also its improvement and expansion over time; turning DEI and wellbeing from illusive corporate concepts to quantifiable metrics; and how to harness the power of AI to create synchronized DEI and wellbeing strategies that maximize ROI.

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