Outros livros que poderiam interessá-lo

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  Fatal Abstraction - Why the...

  Darryl Campbell

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  Software was supposed to radically improve society. Outdated mechanical systems would be easily replaced; social media platforms like Facebook would bring people together; and generative AI would solve the world’s greatest ills. Yet in practice, few of the systems we looked to with such high hopes have lived up to their fundamental mandate. In fact, in too many cases they've made things worse. How did we get to this point? 
   
   
   
  In Fatal Abstraction, Darryl Campbell explains that the problem is "managerial software": programs created and overseen not by engineers but by professional managers with only the most superficial knowledge of technology itself. 
   
   
   
  A former tech worker himself, Campbell shows how managerial software fails, and when it does what sorts of disastrous consequences ensue, from the Boeing 737 MAX crashes to a deadly self-driving car to PowerPoint propaganda, and beyond. Yet just because the tech industry is currently breaking its core promise does not mean the industry cannot change. Campbell argues that the solution is tech workers with actual expertise establishing industry-wide principles of ethics and safety that corporations would be forced to follow. Fatal Abstraction is a stirring rebuke of the tech industry's current managerial excesses, and also a hopeful glimpse of what a world shaped by good software can offer.

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  Data Mining Essentials - Data...

  Cybellium

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  Understand how patterns can be identified in data
  Data Mining Essentials: Data Mining Exam Preparation brings your study of data mining into focus. This Cybellium exam preparation guide connects data preparation, pattern discovery and evaluation and interpretation, helping you see how the ideas fit together.
  Preparing for an assessment is easier to organise when you can see the relationships behind the terminology. Use it to organise your revision, revisit terminology and strengthen the connections between ideas as you prepare for further assessment.
  Build your understanding
  
  - Understand the role of data preparation.
  - Explore the relationships behind pattern discovery.
  - Examine the choices and questions involving evaluation and interpretation.
  - Bring individual concepts together into a more coherent understanding of the subject.
  Who this guide is for
  For students and professionals organising subject revision with an interest in data mining. Use the book for focused study, revision or the next stage of your professional learning, returning to the ideas most relevant to your goals.
  Your included Cybellium learning bonus
  
  - One complimentary month of Cybellium access.
  - One additional Cybellium guide download of your choice.
  - Access to the Cybellium Cybersecurity Knowledge Hub and premium learning resources during the included access period.
  Activate your unique voucher at www.cybellium.com/signup to begin your included month and select your additional guide.
  The included voucher is valid for one-time use only and cannot be combined with another offer.
  Continue your learning with Data Mining Essentials.

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  Who Is Singing?

  Janet Halfmann

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  Have you ever heard a tune from the treetops and wondered, Who is singing? Birds are singing and calling all around us, but every bird’s song is different. Some even sound like familiar words! In this interactive read-aloud book, children (and adults) can learn to identify twelve common birds by sight as well as by sound. Next time you visit your local park, close your eyes and listen closely. Soon you’ll be able to tell who is singing!

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  Soothing Night Sounds - Crickets...

  Greg Cetus

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  This immersive binaural recording captures the tranquil essence of a quiet night in nature. Delicate layers of sound unfold in a vast, serene space: a chorus of Snowy Crickets hums steadily beneath the gentle murmur of a trickling stream. Occasionally, the distant call of a Northern Flicker echoes softly, adding a subtle avian presence to the nocturnal ambiance. A passing breeze stirs the leaves, shifting the soundscape with a natural rhythm that enhances the sense of depth and realism. The result is a deeply calming auditory experience—perfect for meditation, sleep, or unwinding after a long day. Designed to envelop the listener in a peaceful, open environment, this recording brings the soothing embrace of nature directly into your personal space, offering a moment of stillness in our fast-moving world.

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  Hands-on ML Projects with OpenCV

  Mugesh S.

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  Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. 
  
  KEY FEATURES 
  - Step-by-step instructions and code snippets for real world ML projects. 
  - Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization
  - Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow. 
  
  DESCRIPTION
  This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. 
  
  Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. 
  
  By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. 
  
  Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. 
  
  WHAT WILL YOU LEARN 
  - Learn how to work with images and perform basic image processing tasks using OpenCV. 
  - Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. 
  - Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. 
  - Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. 
  - Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. 
  - Utilize techniques for model optimization and deployment in resource-constrained environments. 
  - Implement end-to-end solutions and address challenges encountered in practical scenarios. 
  
  WHO IS THIS BOOK FOR?
  This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept. 
  
  TABLE OF CONTENTS 
  Chapter 1: Getting Started With OpenCV 
  Chapter 2: Basic Image & Video Analytics in OpenCV
  Chapter 3: Image Processing 1 using OpenCV
  Chapter 4: Image Processing 2 using OpenCV
  Chapter 5: Thresholding and Contour Techniques Using OpenCV 
  Chapter 6: Detect Corners and Road Lane using OpenCV
  Chapter 7: Object And Motion Detection Using Opencv
  Chapter 8: Image Segmentation and Detecting Faces Using OpenCV
  Chapter 9: Introduction to Deep Learning with OpenCV
  Chapter 10: Advance Deep Learning Projects with OpenCV
  Chapter 11: Deployment of OpenCV projects

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  Asteroid YR4 - 11 Ways the World...

  Luc Mary

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  What if... a rogue planet grazed the Earth? the Earth left its orbit? the Earth stopped rotating? a meteorite crashed into the middle of the Atlantic Ocean? the Sun suddenly went out? a supervolcano erupted in the United States? humanity fell victim to a giant solar storm? a neutron star hurtled towards Earth? a black hole the size of a soccer ball grazed Earth? the star Betelgeuse exploded into a supernova? 
  
  These are eleven apocalyptic scenarios exploring an unlikely but possible future. All of these extraordinary events are scientifically credible. Some of these catastrophes have even already occurred in the recent past. Proof of this can be found in the meteorite that crashed into the Yucatán and wiped out the dinosaurs... 
  
  Each scenario is explained by a scientist  recognized in their field.

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