D'autres livres qui pourraient vous intéresser

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  AI - The Ultimate Marketing Game...

  Dr. Deepak Renganathan

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  The launch of ChatGPT in November 2022 threw the entire business world into disarray. Not many businesses were prepared for a technological shift that was so sudden and drastic. Moreover, similar to the early days of the World Wide Web, the Artificial Intelligence revolution also comes with a fair share of hype. The overwhelming developments in the field of Artificial Intelligence, coupled with the mushrooming of AI firms, tools, and platforms, are enough to baffle even the most astute marketing managers. As if all these were not enough, radically divergent views from industry stalwarts fuel a raging debate:  
  “AI will continue to get way more capable… People are using it to create amazing things. If we could see what each of us can do 10 or 20 years in the future, it would astonish us today.” 
  Sam Altman, Cofounder and CEO of OpenAI 
  I can't see a path that guarantees safety. We're entering a period of great uncertainty where we're dealing with things we've never dealt with before. And normally, the first time you deal with something totally novel, you get it wrong. 
  Geoffrey Hinton, 'The Godfather of AI'  
  This book is an attempt to evaluate both sides of the view and present a middle path, that of a cautious optimism. Dive into this essential guide to navigate the promises and complexities of AI to ensure you are not just a bystander but a leader in the next technological era. 
  Dr. Deepak Renganathan, a Doctorate in AI and an Advisory Board Certified Chair™, is a seasoned marketing professional with over 22 years of experience across industries such as automobile, luxury real estate, fashion, and 5-star hospitality. Deepak has delivered positive turnarounds for Fortune 500 companies across the Americas, China, EMEA, and APAC regions. His expertise lies in creating impactful, data-driven marketing strategies by leveraging AI, big data, and automation for business growth.

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  Principles of Physics -...

  Mark Hedges

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  Physics is the branch of science that seeks to understand the fundamental principles governing the universe. It explores the nature of matter, energy, space, and time, and investigates the forces and interactions that shape the behavior of physical systems. Physics provides the foundation for understanding natural phenomena, from the motion of celestial bodies to the behavior of subatomic particles. It is both a theoretical and experimental science, combining mathematical models with empirical observations to describe and predict physical behavior. 
  The origins of physics can be traced back to ancient Greece, where philosophers such as Aristotle and Democritus speculated about the nature of matter and motion. However, modern physics began to take shape during the Scientific Revolution in the 16th and 17th centuries with the work of Galileo Galilei, Johannes Kepler, and Sir Isaac Newton. Galileo introduced the concept of systematic experimentation and mathematical analysis, while Kepler’s laws of planetary motion provided empirical support for the heliocentric model of the solar system. Newton’s formulation of the laws of motion and universal gravitation established a comprehensive framework for understanding the mechanics of bodies in motion. 
  Physics is traditionally divided into classical and modern physics. Classical physics encompasses theories developed before the 20th century, including Newtonian mechanics, thermodynamics, and classical electromagnetism. Newtonian mechanics describes the motion of macroscopic objects using concepts such as force, mass, and acceleration. Thermodynamics studies the relationships between heat, work, and energy, while classical electromagnetism, formulated by James Clerk Maxwell, explains the behavior of electric and magnetic fields and their interactions with charged particles.

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  Our Data Ourselves - A Personal...

  Jacqueline D. Lipton

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  A practical, user-friendly handbook for understanding and protecting our personal data and digital privacy. 
   
   
    
  Our Data, Ourselves addresses a common and crucial question: What can we as private individuals do to protect our personal information in a digital world? In this practical handbook, legal expert Jacqueline D. Lipton guides listeners through important issues involving technology, data collection, and digital privacy as they apply to our daily lives. 
   
   
   
  Our Data, Ourselves covers a broad range of everyday privacy concerns with easily digestible, accessible overviews and real-world examples. Lipton explores the ways we can protect our personal data and monitor its use by corporations, the government, and others. She also explains our rights regarding sensitive personal data like health insurance records and credit scores, as well as what information retailers can legally gather, and how. Who actually owns our personal information? Can an employer legally access personal emails? What privacy rights do we have on social media? Answering these questions and more, Our Data, Ourselves provides a strategic approach to assuming control over, and ultimately protecting, our personal information.

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  Mastering OpenCV with Python -...

  Ayush Vaishya

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  Unlocking Visual Insights: OpenCV Made Simple and Powerful. 
   
  
  
   
  ???Book Description
  "Mastering OpenCV with Python" immerses you in the captivating realm of computer vision, with a structured approach that equips you with the knowledge and skills essential for success in this rapidly evolving field. 
   
  
  
   
  From grasping the fundamental concepts of image processing and OpenCV to mastering advanced techniques such as neural networks and object detection, you will gain a comprehensive understanding. Each chapter is enriched with hands-on exercises and real-world projects, ensuring the acquisition of practical skills that can be immediately applied in your professional journey. 
   
  
  
   
  This book not only elevates your technical proficiency but also prepares you for a rewarding career. The technological job landscape is constantly evolving, and professionals who can harness the potential of computer vision are in high demand. 
   
  
  
   
  By mastering the skills and insights contained within these pages, you will be well-prepared to explore exciting career opportunities, ranging from machine learning engineering to computer vision research. This book is your ticket to a future filled with innovation and professional advancement within the dynamic world of computer vision. 
   
  
  
   
  Table of Contents
  
  1. Introduction to Computer Vision
  2. Getting Started with Images
  3. Image Processing Fundamentals
  4. Image Operations
  5. Image Histograms
  6. Image Segmentation
  7. Edges and Contours
  8. Machine Learning with Images
  9. Advanced Computer Vision Algorithms
  10. Neural Networks
  11. Object Detection Using OpenCV
  12. Projects Using OpenCV   
  Index

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  How Algorithms Shape Your Choices

  Marcus Reed

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  Every time you scroll, click, or swipe, invisible systems are quietly deciding what you see next. How Algorithms Shape Your Choices takes readers behind the screen to uncover how recommender engines, attention metrics, and predictive models influence not only what we consume — but what we believe. In clear, accessible language, it reveals how the digital world builds personalized realities that guide our thoughts and behaviors without asking for permission. From filter bubbles to algorithmic bias, it traces how data-driven design became the most powerful force in modern life — and how understanding it is the first step toward reclaiming control. This isn’t a story about technology; it’s a story about human freedom in an age of invisible influence.

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  From Big Data to Big Profits -...

  Russell Walker

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  In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. 
   
   
   
  Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics.

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