Outros livros que poderiam interessá-lo

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  Predictable Revenue

  Peter Mann

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  Predictable Revenue: Get the Low Down on All the Possible Ways You Can Earn Money Online! Are you looking for a way to earn money online? With the right ‘gig’ you canearn a full time income and get out of the 9 to 5 rat race. There are many ways to generate income online. A quick search and you will discover various ways of how to make money online but this audiobook has already gathered all of those possibilities you can try so you can see which one works best for you.What can help determine it is how much time you have available to you and where your interests lie. This way, you will be able to do your absolute best, earn more while enjoying your work. This audiobook will cover the following topics:- Passive Income - Best Ways to Earn it- Quick and Easy Ways to Make Money Online- Make Money From Writing Online- Ways to Generate Real Online Income- Thinking Outside the Box- Online Marketing- Fun and Unusual Ways to Make Money Online- And many more!With so many opportunities online it can be difficult to determine what’s the right way. Part of it depends on how much time you have available to you and where your interests lie. If you want to learn more, scroll up and click “add to cart” now!

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  Endemic - A Post-Pandemic Playbook

  Monica Gandhi M.D.

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  A Blueprint for Navigating Future Pandemics: Embrace an Endemic Reality Discover a roadmap to coexisting with new respiratory diseases and their variants using reason, science, courage, and compassion. This approach acknowledges that eradicating these viruses may be challenging, but controlling them is possible. By utilizing existing tools, we can coexist with these viruses without disrupting society. In this book, Dr. Gandhi offers insights into the story, science, and politics of our journey so far, highlighting successes and challenges. With her expertise, clear reasoning and a 10-point plan, Dr. Gandhi equips readers to understand and prepare for the future, ensuring a well-informed and resilient society.

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  History of Apple iOS

  Introbooks Team

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  "Today Apple is going to reinvent the phone." was those eight words that shook the mobile market on 9th Jan 2007. It was a Macworld Conference and Expo in San Francisco where Steve Jobs, the Apple CEO first introduce the iPhone to the world. And with the very first iPhone, Apple launched their personalized operating system for their phones, the iOS. On June 29th, 2007, iOS, primarily known as iPhone OS, was launched for the first time. Since then in every summer they have reinvented the mobile operating system and with each update, they blow their consumers minds with what is possible with their iDevices. And they are still improving.   
  As mentioned before, Apple iOS is a personalized operating system specially designed for all the electronic devices by Apple, like the iPhones, iPad and iPod touch. The iOS was first announced on June 29th,2007 and since then it has come a long way and saw a lot of major changes too. Since the first iPhone OS (renamed as iOS later) the updates being released through iTunes software. And after iOS 5 it started releasing via over-the-air updates. Since then, the consumers never needed to use a USB on iTunes to connect with iOS. They started using iCloud for data synchronization. 
  Every year, a new version of iOS is usually launched with a new iPhone model. In Apple’s yearly Worldwide Developers Conference (WWDC), they announce the new major iOS update and release it in September of the same year. The latest stable update of iOS is iOS 12.3.2. This update has been released on June 10th,2019. The most recent Beta version of iOS, the iOS 12.4 Beta 4 has been released on the very next day. And Apple has already announced iOS 13 and some of its special features, such as dark mode on 3rd June 2019 in their Worldwide Developers Conference (WWDC).

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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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  Uncovering Dinosaur Behavior -...

  David Hone

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  Our understanding of dinosaur behavior has long been hampered by the inevitable lack of evidence from animals that went extinct more than sixty-five million years ago. Today, with the discovery of new specimens and the development of new and cutting-edge techniques, paleontologists are making major advances in reconstructing how dinosaurs lived and acted. Uncovering Dinosaur Behavior provides an unparalleled look at this emerging field of science, presenting the latest findings on dinosaur behavior and explaining how researchers interpret the often minimal and even conflicting information available to them. 
   
   
   
  David Hone begins by introducing listeners to the fundamentals of dinosaur biology, diversity, and evolution, and goes on to describe their behaviors, from feeding and communication to reproduction, sociality, and combat. Speculation about dinosaur behavior goes back to the earliest scientific studies of these "terrible lizards." Hone traces how pioneering science is opening a window into prehistoric life as never before, and discusses future directions of research in this thrilling and rapidly growing area of paleontology. 
   
   
   
  Written by one of the world's leading dinosaur experts, Uncovering Dinosaur Behavior is a foundational work on the subject and an invaluable reference for anyone interested in these amazing creatures.

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  In-Memory Computing -...

  James Henry

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  In-Memory Computing: Revolutionizing Data Processing and Analytics for Real-Time Decision-Making in the Age of Big Data offers an in-depth exploration of one of the most transformative technologies shaping modern data management. As organizations grapple with the explosive growth of data and the need for instantaneous insights, in-memory computing emerges as a critical solution to enhance data processing speed and efficiency. 
  This comprehensive guide delves into the core principles of in-memory computing, explaining how it leverages the power of RAM to dramatically reduce latency and improve performance. Readers will discover the architecture and technologies that underpin in-memory systems, including data grids, analytics platforms, and real-time processing frameworks. 
  Through insightful case studies and practical examples, this book highlights the diverse applications of in-memory computing across industries such as finance, e-commerce, telecommunications, and healthcare. It reveals how businesses are using this technology to make informed, timely decisions that drive growth and innovation. 
  As the demand for real-time analytics continues to grow, this book serves as an essential resource for data professionals, IT leaders, and decision-makers looking to stay ahead in the data-driven landscape. Join the revolution in data processing and analytics, and discover how in-memory computing can transform your organization’s decision-making capabilities in the age of big data. 
   

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