Otros libros que te pueden interesar

• 

  The Everything Code - Seizing...

  Raoul Pal

  • 0
  • 0
  • 0

  Read by the author, Raoul Pal.The first book from the globally-renowned investor and founder of Real Vision, as featured on Diary of a CEO.The Everything Code is the result of 30 years of deep thought and analysis by entrepreneur, Raoul Pal that unlocks the secret code to the global economy, financial markets and the trends transforming our society. This book will show you how to thrive in our new Exponential Age so you can secure your future and stay ahead of the curve.Discover why the economic system is broken leading to stagnant wages, rising asset prices and societal inequality. Raoul considers the role of central banks in exacerbating these issues through currency debasement, wealth inequality, and the prioritization of government debt over individual prosperity. This contributes to the growing divide between the rich and the poor, the struggles of younger generations, and the societal consequences of these economic policies.Enter the 'Everything Code:' a groundbreaking framework for understanding predictable economic cycles driven by debt refinancing, explaining how technology and crypto can serve as life rafts in a broken financial system.Packed with actionable insights on how to invest wisely in these transformative times, The Everything Code ensures you can secure your financial future.

  Ver libro

• 

  The Smartphone Solution

  Dr Martha Deiros Collado

  • 0
  • 0
  • 0

  The Essential Self-Help Guide to Your Children Thriving in a Digital Age from Clinical Psychologist and Bestselling Author Dr Martha Deiros Collado 
  ‘The book us parents urgently need’ Dr Julie Smith 
  The smartphone dilemma: it’s on every parent’s mind. When should I let my child have a phone? What are the risks and how can I protect them? How can I encourage and nurture healthy digital habits? In The Smartphone Solution, highly respected child-and-family clinical psychologist Dr Martha Deiros Collado provides the answers so you can:determine the right age to give your child a phoneanswer the questions they may have and turn these conversations into moments that build connectiondistinguish the real risks and benefits of smartphones from the misinformationteach yourself and older siblings to model healthy phone habitsnavigate online safety, digital footprints, consent and family tech boundariessign the Family Phone Pledge and build a supportive community with like-minded parents. 
  Written with Dr Martha’s characteristic warmth and empathy, The Smartphone Solution will provide the information and tools you need to support your child and allow them to thrive in the modern digital world. 
  As children move through different stages, The Smartphone Solution helps parents navigate school, education, and the growing role of devices—starting with the decision to introduce a cell. With a steady focus on internet privacy and family relationships, this non-fiction guide brings clarity to real-life parenting in a connected world. 
  For fans of Daniel J. Siegel (Disarming the Narcissist), Sarah Ockwell-Smith (Between), Philippa Perry (The Book You Want Everyone You Love* To Read *(and maybe a few you don’t)), and Emma Svanberg (Why Birth Trauma Matters). 
  HarperCollins 2025

  Ver libro

• 

  Hands-on ML Projects with OpenCV

  Mugesh S.

  • 0
  • 0
  • 0

  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

  Ver libro

• 

  The Madness Pill - One Doctor's...

  Justin Garson

  • 0
  • 0
  • 0

  A rollicking history of the life and work of an unheralded genius: Dr. Solomon Snyder, whose experiments with mind-altering drugs helped change the way we think about the causes and treatments of schizophrenia. This program is read by the author.In the 1950s, the field of psychiatry had nothing to show for itself. While polio was being cured, antibiotics were being discovered, and cancer research was developing, the mental health world had no wins. Asylums were full and nobody had figured out how to fix insanity—specifically schizophrenia, the severest mental illness. Scientists became convinced that if they could engineer a pill to create madness, then they could cure it.Centered around Solomon Snyder, the psychiatrist who ultimately did identify the madness pill, and the community of doctors and researchers he worked with, THE MADNESS PILL recounts the drug-fueled quest to cure schizophrenia. A wunderkind who started medical school at 19, Snyder worked steadily for decades to replicate the illness, ultimately finding in 1970 that amphetamines could trigger a schizophrenia-like state by flooding the brain with dopamine. Five years later, he went on to discover the dopamine receptor and proved that antipsychotic drugs work by disabling dopamine neurons. Snyder’s dopamine hypothesis inspired a generation of researchers to part ways with psychoanalysis and look for the biological basis of schizophrenia and other mental disorders.Using first-hand research and interviews, THE MADNESS PILL is at once a raucous history and insightful portrait of a remarkable scientist who turned psychiatry into a respected science by transforming how mental illness is treated.A Macmillan Audio production from St. Martin’s Press

  Ver libro

• 

  Generative AI for Beginners -...

  John Cook

  • 0
  • 0
  • 0

  FEELING LEFT BEHIND BY AI? MASTER GENERATIVE AI IN JUST 7 DAYS—NO TECH BACKGROUND REQUIRED 
  You're not alone—and this audiobook is your fast track to mastering AI in just seven days. You'll go from unsure and overwhelmed to confident, creative, and in control, using AI to spark ideas, save hours, and supercharge your productivity. 
  In this clear, no-jargon guide, you'll learn how to:Have your first smooth, stress-free AI conversationPlan, organize, and automate tasks effortlesslyIgnite creativity on demand and defeat writer's blockUnderstand AI in plain English—no coding requiredBuild your first real AI-powered project in a single week 
  By the end, you'll think smarter, create faster, and finally feel confident using—and explaining—AI without ever feeling left behind again. 
  Stop watching the AI revolution pass you by. Start listening to this audiobook now and master the skills that will shape your future. 
  Your transformation begins the moment you press play.

  Ver libro

• 

  Data Engineering Fundamentals...

  James Ferry

  • 0
  • 0
  • 0

  In the age of data-driven decision-making, the role of a data engineer has become more crucial than ever. "Data Engineering Fundamentals for Beginners: Mastering the Art of Building, Managing, and Scaling Data Systems" provides a clear, concise, and comprehensive introduction to the fundamentals of data engineering, making it an essential read for beginners eager to navigate this vital field. 
  This book starts with the basics, explaining what data engineering is and how it fits into the larger context of data systems and data science. From there, it delves into the core topics that every aspiring data engineer must master, including data ingestion, storage, processing, and transformation. With practical insights on tools like Apache Kafka, Hadoop, Spark, and Airflow, readers will gain hands-on knowledge that spans the full spectrum of data engineering tasks. 
  "Data Engineering Fundamentals for Beginners" also covers critical aspects like data quality, governance, and integration, ensuring that readers understand not just how to handle data, but how to maintain its integrity and relevance in a complex business environment. Additionally, the book explores the future of data engineering, discussing emerging technologies and trends that are shaping the field. 
  "Data Engineering Fundamentals for Beginners is your gateway to becoming a proficient data engineer in today’s data-centric world. 
   

  Ver libro