Other books that might interest you

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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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  COSMOS Series - 5 Poem Audio...

  Mike Blake

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  COSMOS Series  :: 5 Poem Audio Book DealGet 5 Poems for the Price of 3  Retail $15.99  Price here $8.99 its an Astro-nomical Deal. Includes written Poetry.Dark Skies & Cosmology are intertwined.One is the view you have of space both through your naked eye, and using hand-held Telescopes, right upto the services of the Giant Hubble Telescope.Also in COSMOS: Peace & Tranquility: On Mars.This Poem was inspired by the film 'The Martian' released in 2015.1st Poem in the Series: Dark Skies. A poem about the importance of seeing terestrial bodies at night, like we used to in days of old.Now designated spots around the globe have been put aside for 'Dark Skies' to be seen in their true wonder.2nd Poem in the Series: Peace & Tranquility: On Mars. This Poem was inspired by the film 'The Martian' released in 2015. Matt Damon was the single character actor that held center stage, in beautiful isolation (except for, in the film of certain death) As beng isolated on the Red Planet is Peaceful & Tranquil, but lethal.3rd Poem in the Series: Pillars of Creation: Hold our Hand.Pillars of Creation: Is a poem based around the rekindling of interest in them fromhe the Hubble Space Telescope in 1995.The magnificent photograph from Hubbs which has been adapted for this poem on the front cover.The photograph has been adapted showing succinctly a Gauntlet/Glove reaching out with the 3 fingered Pillars to the stars.4. Our Universe - But: An incoming/outgoing wave.Some think of string theory, others, that waves are involved etc.My poem postulates a possible cosmic wave outward from the Big Bang, in the order of present Scientific theory.5. Sagittarius A Star.: *The wonders of nature, beyond our goldfish bowl. The Cosmos unfolded into a glass onion, peturbedby NOTHING at all!***** Please leave your Review/feedback, many thanks. *****To see more Poems by the same Author please click the Link HERE:https://www.amazon.com/-/e/B00SG40RM8

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  Multiverse Theory - The Theories...

  Steff Jaywan

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  Multiverse theory posits the existence of multiple, possibly infinite, universes that exist parallel to our own, collectively forming what is known as the "multiverse." The origins of this theory are rooted in quantum mechanics and cosmology. In 1957, physicist Hugh Everett III proposed the "Many-Worlds Interpretation" of quantum mechanics, suggesting that all possible outcomes of quantum measurements are realized in some "world" or universe, leading to a vast number of parallel universes. In cosmology, theoretical models involving inflation (a rapid expansion of the universe after the Big Bang) suggest that different regions of space could stop inflating at different times, creating separate "bubble universes" with potentially different physical properties. 
    
  There are various types of multiverses proposed by scientists. A Level I multiverse includes regions beyond our observable universe, where regions sufficiently far away might have different physical conditions and histories. A Level II multiverse consists of universes with different physical constants and laws of physics, arising from different inflationary conditions. The Many-Worlds Interpretation of quantum mechanics is considered a Level III multiverse, where every quantum event branches into new universes. A Level IV multiverse encompasses universes with fundamentally different mathematical structures, including all possible mathematical realities.

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  Neural Networks for Beginners -...

  James Ferry

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  "Neural Networks for Beginners: Unlock the Secrets of Neural Networks" is your essential guide to understanding and mastering one of artificial intelligence's most powerful tools. Whether you're new to the world of neural networks or looking to deepen your understanding, this beginner-friendly book demystifies complex concepts and empowers you to harness the full potential of neural networks. 
  From the fundamentals of neural network architecture to practical applications in image recognition, natural language processing, and beyond, this book covers everything you need to know to get started. You'll learn about neurons, layers, activation functions, and the training process, gaining a solid foundation in the building blocks of neural networks. 
  With step-by-step instructions and real-world examples, you'll discover how to implement neural networks using popular Python libraries like TensorFlow and Keras. Whether you're building your first neural network or exploring advanced techniques, this book provides clear guidance and hands-on exercises to help you succeed. 
  But Neural Networks for Beginners goes beyond the basics. It also explores the challenges and limitations of neural networks, including data quality, interpretability, and ethical considerations. Plus, you'll get a glimpse into the future of neural networks, with insights into emerging trends like explainable AI and quantum neural networks. 
  Neural Networks for Beginners is your roadmap to mastering one of the most transformative technologies of our time. With this book as your guide, you'll unlock the secrets of neural networks and unleash their power to solve complex problems and drive innovation in AI. 
   

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  Agile Project Management with...

  Daniel Green

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  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. 
   

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  Objectivity & Diversity -...

  Sandra Harding

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  Worries about scientific objectivity seem never-ending. Social critics and philosophers of science have argued that invocations of objectivity are often little more than attempts to boost the status of a claim, while calls for value neutrality may be used to suppress otherwise valid dissenting positions. Objectivity is used sometimes to advance democratic agendas, at other times to block them; sometimes for increasing the growth of knowledge, at others to resist it. Sandra Harding is not ready to throw out objectivity quite yet. For all of its problems, she contends that objectivity is too powerful a concept simply to abandon. In Objectivity and Diversity, Harding calls for a science that is both more epistemically adequate and socially just, a science that would ask: How are the lives of the most economically and politically vulnerable groups affected by a particular piece of research? Do they have a say in whether and how the research is done? Should empirically reliable systems of indigenous knowledge count as "real science"? Ultimately, Harding argues for a shift from the ideal of a neutral, disinterested science to one that prizes fairness and responsibility.

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