Outros livros que poderiam interessá-lo

• 

  Agile Project Management with...

  Daniel Green

  • 0
  • 0
  • 0

  Embark on a transformative journey into the world of Agile Project Management with Scrum. This comprehensive guide unravels the intricacies of the Scrum framework, empowering both novices and seasoned professionals to harness the power of Agile methodologies for unparalleled project success. 
  Dive into the foundations of Agile, exploring its evolution and the fundamental principles that drive its success. Discover the heartbeat of Scrum as you navigate through roles and responsibilities, Scrum events, and essential artifacts that form the backbone of this dynamic framework. 
  The book takes you through the practical application of Scrum, from Sprint Planning to the execution of Sprints and the delivery of valuable Increments. Learn the art of adapting to change, fostering collaboration, and embracing a culture of continuous improvement within your development team. 
  Explore the crucial roles of Product Owners and Scrum Masters, delving into effective facilitation, servant leadership, and the delicate balance of prioritizing and managing the Product Backlog. Uncover the secrets of scaling Agile for larger projects, as well as the vital metrics and monitoring tools that drive project success. 
  Drawing from real-world examples and case studies, "Agile Project Management with Scrum" provides insights into overcoming common challenges, tailoring Agile for various industries, and staying ahead of future trends in Agile Project Management. With a wealth of resources and practical advice, this book equips you to navigate the complexities of modern project management with confidence and agility. 
  "Agile Project Management with Scrum" is your indispensable guide to unlocking the full potential of Scrum and revolutionizing the way you approach and deliver successful projects. Transform your project management skills and embrace a future where agility is the key to sustained success. 
   

  Ver livro

• 

  Pilot's Handbook of Aeronautical...

  Federal Aviation Administration

  • 0
  • 0
  • 0

  This audiobook is narrated by an AI Voice.  
  Pilot's Handbook of Aeronautical Knowledge FAA-H-8083-25C Audiobook 
   
  This audiobook provides the basic knowledge that is essential for pilots. It introduces pilots to the broad spectrum of knowledge that will be needed as they progress in their pilot training. Except for the Code of Federal Regulations pertinent to civil aviation, most of the knowledge areas applicable to pilot certification are presented. This audiobook is useful to beginning pilots, as well as those pursuing more advanced pilot certificates.

  Ver livro

• 

  Kickstart Artificial...

  Dr. S.Mahesh Anand

  • 0
  • 0
  • 0

  Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions.
  Book Description
  AI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field.
  Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice.
  Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners.
  Table of Contents
  1. Introduction and Evolution of AI Technologies
  2. Modern Approach to AI
  3. Introduction to Machine Learning
  4. Regression Versus Classification Model
  5. Naive Bayes as a Linear Classifier
  6. Tree-Based Machine Learning Models
  7. Distance-Based Machine Learning Models
  8. Support Vector Machines
  9. Introduction to Artificial Neural Networks
  10. Training Neural Networks
  11. Introduction to Convolutional Neural Networks
  12. Classification Using CNN
  13. Pre-trained CNN Architectures
  14. Introduction to Recurrent Neural Networks
  15. Introduction to Long Short-Term Memory (LSTM)
  16. Application of LSTM in NLP and TS Forecasting
  17. Emerging Trends and Ethical Considerations in AI       
  
  Index

  Ver livro

• 

  Canada and Climate Change

  William Leiss

  • 0
  • 0
  • 0

  Pandemics, massive earthquakes, war, and other catastrophes inspire immediate action because their casualties and destruction are immediately visible. Climate change is an unyielding problem because its long-range dangers are hidden, and thus it is a global risk unlike anything in human experience
  		 
  The federal government recently announced aggressive climate targets for Canada. We have committed to producing net-zero greenhouse gas emissions by 2050, which will require major changes for our economy and way of life. Canadian citizens need to understand why our most distinguished climate scientists and our senior political leaders think that we must meet this target. Canada and Climate Change explains the importance of policies that will ensure we meet the net-zero emissions target. William Leiss provides a firm grasp on what climate change is and how scientists have described shifts in the earth’s climate as they have occurred over hundreds of millions of years and as they are likely to occur in the near future, especially by the end of this century.
  		 
  Leiss argues that citizens have a right to place their trust in what climate scientists tell us. Canada and Climate Change is an essential primer on where we stand on the issue of climate change in Canada and what will unfold in the years ahead.

  Ver livro

• 

  Neanderthals - Fact Fiction and...

  Jeffrey H. Schwartz

  • 0
  • 0
  • 0

  In the early twentieth century, paleoanthropologists interpreted the differences between specimens of an expanding human fossil record as reflecting taxonomic and evolutionary diversity. Why, then, in the 1940s, did geneticist Theodosius Dobzhansky reconfigure human evolution into one, profoundly morphologically variable lineage which changed slowly through time? Neanderthals exposes, for the first time, the history of how conceptions of race have configured interpretations of the first-found human fossils; how assumptions underlying human fossils were and still are interpreted as to species and their evolutionary relationships.No matter how "different" Nazis thought living humans were, differences between Neanderthals and bigger-browed, chunkier-faced specimens and living humans trivialized the differences between living humans. In 1950, without basis, taxonomist Ernst Mayr lumped all fossil and extant humans into three transforming species of genus Homo: transvaalensiserectussapiens; sapiens subsumed humans, Neanderthals, and even less morphologically sapiens-like specimens. In 1962, at a Wenner-Gren Foundation meeting, participants voted to keep these specimens, Neanderthals, and humans in Homo sapiens.Even when Neanderthals were returned to species neanderthalensis, the assumption remained: humans and Neanderthals interbred. In a press release, the Committee that awarded Svante Pääbo the Nobel Prize for "demonstrating" human inheritance of Neanderthal "genes" made clear that his claims were predicated on assuming Neanderthal-human interbreeding. It's remarkable how received wisdom continues to influence paleoanthropologists and molecular anthropologists who then present as fact, to a naïve public, assumptions that are biologically and evolutionarily wrong.

  Ver livro

• 

  The Cardiac Fulcrum in the...

  Jorge Trainini

  • 0
  • 0
  • 0

  "Since the publication of Fundamentals of the New Cardiac Mechanics: The Suction Pump, ten years ago, there has been a productive succession of studies and research by these brilliant scientists who expanded the knowledge of cardiac mechanics and the myocardial muscle structures and bands. They found the presence of an osseous or cartilaginous tissue, which they called the cardiac fulcrum, where the myocardial bands begin and end, it serves as support for the entire system; they also documented the finding of the lubrication of the entire muscular framework of the heart.
  This knowledge enriches our understanding about the anatomy, physiology, and mechanical contraction of the heart, and thanks to the results, better treatments for heart failure are made possible. Until now, cardiologists explained heart contraction and its failures with the Frank-Starling Law (or simply the Starling Law); now, these new concepts of myocardial torsion and detorsion have been introduced, and the consequent protodiastolic suction through the contraction of sectors that contribute to the detorsion and active expansion of the ventricular cavities, generating an aspirating movement of the blood and a three-phase cardiac cycle. Furthermore, they explain the loss of the ventricles' aspirating capacity due to their dilation, when part of the myocardial torsion and detorsion is lost, and consequently, the heart's efficiency as a pump. I am truly convinced that these findings have opened up great lines of research for the future understanding of heart failure" (Dr. Pedro Cossio).

  Ver livro