Otros libros que te pueden interesar

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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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• 

  Generative AI on AWS - Building...

  Chris Fregly, Shelbee...

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  Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. 
   
   
   
  You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. 
   
   
   
  You'll also discover how to apply generative AI to your business use cases; determine which generative AI models are best suited to your task; perform prompt engineering and in-context learning; fine-tune generative AI models on your datasets with low-rank adaptation (LoRA); align generative AI models to human values with reinforcement learning from human feedback (RLHF); augment your model with retrieval-augmented generation (RAG); explore libraries such as LangChain and ReAct to develop agents and actions; and build generative AI applications with Amazon Bedrock.

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  Your Brain Is Playing Tricks On...

  Albert Moukheiber

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  Why are we often convinced that we’re right even when we’re wrong? Why are we jealous, or paranoid, even when we have absolutely no reason to be? Why is it so easy for fake news to spread around the globe and fool us? It’s because we don’t see the world as it is, rather we reconstruct it in our mind.

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  Microdosing Psilocybin Mushrooms...

  Bil Harret, Anastasia V. Sasha

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  Are you looking to relieve any physical or mental health conditions for which psilocybin has shown potential? Perhaps without the side effects commonly associated with many pharmaceuticals 
  Countless research and anecdotal reports have shown that psilocybin can help relieve numerous mental health disorders such as depression, anxiety, crippling fear, substance dependence, PTSD, and OCD, among others. And not only mental health conditions but also physical ailments such as migraines or cluster headaches, among others. Additionally, it has been used to noticeably improve your daily performance and general well-being. 
  But even with the outstanding benefits, little is known about microdosing psilocybin, and the information out there lacks accuracy and depth, making this venture harder than it should be… until now. 
  Microdosing Psilocybin Mushrooms is an all-inclusive, carefully researched, up-to-date, and beginner-friendly guide to everything there is to know about microdosing with psilocybin mushrooms. 
  Discover:The transformational power of psilocybin, its nature, and its influence on the human brainThe rich history of psilocybin mushrooms, dated back as far as you might have ever imaginedWhat to do to zero in on your optimal doseAll the therapeutic applications of psilocybinThe best microdosing protocolsPossible side effects and disqualified individualAnd much more! 
  It doesn’t matter whether you’ve tried microdosing mushrooms before and are looking to refine your knowledge or haven’t ever held them in your hand and want to learn more about this nascent topic; this guide will walk you through the whole process until you are psilocybin-versed!

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  The Beauty of The Beastly - New...

  Natalie Angier

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  Natalie Angier knows all that scientists know—and sometimes more—about the power of symmetry in sexual relations, about the brutal courting habits of dolphins, about the grand deceit of orchids, about the impact of female and male preferences on evolution. She knows how scientists go about their work, and she describes their ways, their visions, and their arguments. Perhaps most poignantly, she understands the complexities and the sad necessity of death. “The beauty of the natural world lies in the details, and most of those details are not the stuff of calendar art,” she points out.  
  Few writers have ever covered so many facets of biology so evocatively in one book. The Beauty of the Beastly tells us how the genius of the biological universe resides in its details and proves why, according to Timothy Ferris, author of the acclaimed Coming of Age in the Milky Way, Angier is “one of the strongest and wittiest science writers in the world today.”

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  Mastering Machine Learning -...

  Christopher Harrison

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  "Mastering Machine Learning: From Concepts to Implementations - A Comprehensive Guide" is a navigation system across the complex field of machine learning rather than merely being another technical handbook. With careful attention to detail, each chapter guides you through the fundamental ideas, guiding concepts, and practical applications. It is designed for beginning and intermediate learners and is jam-packed with in-depth insights. Turn each page to find expanded learning pathways, practical insights, and even discussions on the moral implications of machine learning.  
  Envision possessing the expertise and abilities to create, implement, and enhance machine learning models effectively. Imagine being a part of initiatives that use AI to improve company productivity, foster creativity, and even address social issues. With the help of this book, you can turn the field of artificial intelligence into a creative playground where your abilities, ideas, and expertise serve as creative sparks. This is about being empowered and enabled to participate in the next technology revolution, not just about learning. 
  Don’t let this opportunity slip through your fingers. Enter a universe where machine learning principles are explained, applications are made understandable, and your educational path is customized. Grab a copy of this audiobook and step into a world where the future of technology and your career intersect. The path to becoming a master of machine learning starts today!

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