Weitere Bücher, die Sie mögen werden

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  Ultimate Laravel for Modern Web...

  Drishti Jain

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  Unlock the Power of Laravel: Elevate Your Web Development Game!Book DescriptionThe “Ultimate Laravel for Modern Web Development” is a comprehensive journey through Laravel, the PHP framework revolutionizing web development. This practical guide ensures a fluid progression from fundamentals to advanced techniques, making you a seasoned Laravel expert. The book begins with the fundamentals, seamlessly transitioning into the core of Laravel's MVC architecture. It then navigates through routers, views, controllers, and Blade templates, building a strong foundation for your projects.As you progress, the book will uncover the power of Eloquent ORM and Query Builder, mastering efficient data handling. You will implement seamless authentication and authorization processes to ensure the security of your applications and develop robust APIs to enhance your application's functionality and connectivity.The book will dive into the art of testing and debugging, refining your Laravel projects for optimal performance. It will delve into email and notifications, adding dynamic communication to your applications. Finally, you will learn the ins and outs of deploying your Laravel app to the cloud, bringing your creations to a global audience.Table of Contents1. Getting Started with Laravel2. MVC Architecture in Laravel3. Routers and Views in Laravel4. Building Controllers and Blade Templates5. Working with Eloquent ORM and Query Builder6. Implementing Authentication and Authorization in Laravel7. Developing APIs with Laravel8. Testing and Debugging your Laravel Application9. E-mail and Notifications in Laravel10. Deploying your Laravel App to CloudIndex

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  Python Machine Learning for...

  Daniel Garfield

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  "Python Machine Learning for Beginners: Unlocking the Power of Data" is a comprehensive beginner's guide that demystifies the world of machine learning using the Python programming language. Whether you are a student, a professional looking to expand your skillset, or simply curious about the fascinating field of machine learning, this book is your gateway to unlocking the power of data. 
  In this book, you will embark on a journey that takes you from the fundamentals of Python programming to understanding the core principles and techniques of machine learning. Step by step, you will learn how to preprocess and explore data, engineer features, build predictive models, and evaluate their performance. With hands-on examples and practical exercises, you will gain a solid foundation in supervised and unsupervised learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, clustering, and dimensionality reduction. 
  Delving into the realm of deep learning, you will discover the power of neural networks and their applications in image classification, sequence data analysis, and transfer learning. You will also explore the ethical considerations and challenges associated with deploying machine learning models in real-world scenarios. 
  Throughout the book, the emphasis is on making complex concepts accessible to beginners. With clear explanations, code snippets, and illustrative visualizations, you will develop a deep understanding of machine learning techniques and their practical implementation using Python's popular libraries such as scikit-learn, TensorFlow, and Keras. 
  "Python Machine Learning for Beginners: Unlocking the Power of Data" is your essential companion. By the end of this book, you will be equipped with the knowledge and confidence to harness the power of data and embark on your own machine learning projects. 
   

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  Hybrid Cars - The Motive Power...

  Owen Jones

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  Hybrid cars, and indeed, all electric vehicles are playing a rôle in the salvation of the planet’s eco-system. At least, in respect to the world supporting human life. However, hybrid cars will one day be replaced by vehicles that use no irreplaceable energy at at all, once the technology is there. It is likely that there will be at least two such power sources in the near future: electricity and hydrogen – but who knows what else will be available? 
  Hybrid and electric cars are revolutionizing the automotive landscape, offering a myriad of advantages that extend beyond the traditional internal combustion engine. One of the primary benefits is environmental sustainability. Electric cars produce zero tailpipe emissions, significantly reducing air pollution and carbon footprint. As the world grapples with climate change, the shift towards electric vehicles is a crucial step in mitigating environmental impact. 
  Furthermore, these vehicles contribute to energy efficiency. Hybrid cars combine an internal combustion engine with an electric motor, optimizing fuel consumption and reducing reliance on fossil fuels. Electric cars, relying solely on electric power, boast high energy efficiency and cost savings over time. With advancements in battery technology, electric cars now offer extended ranges and faster charging times, addressing concerns about range anxiety. 
  Beyond environmental and economic advantages, hybrid and electric cars provide a smoother and quieter driving experience. The instant torque delivery in electric motors enhances acceleration, making these vehicles not only eco-friendly but also performance-oriented. As governments worldwide incentivise the adoption of cleaner technologies, the advantages of hybrid and electric cars position them as the driving force in the future of sustainable and efficient transportation.

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  Trout Bum

  John Gierach

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  Brilliant, witty, perceptive essays about fly-fishing, the natural world, and life in general by the acknowledged master of fishing writers. 
   
   
   
  While most of us fly-fish to escape from daily life, for John Gierach and his friends fly-fishing IS a way of life. They are trout bums. But John Gierach is also an exceptional writer. The essays in Trout Bum are reflective, bitingly humorous, and enormously wise in the ways of fishing and men. In vivid, unforgettable detail they recount the emotional, spiritual, and tangible adventures and pleasures of stalking trout in and around the Rockies—day in, day out, from season to season, with friends, and alone. John Gierach's essays join the literary tradition of angling classics like The River Why, and A River Runs Through It.

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  Discover the Secret Worlds of...

  Grant Whitley

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  Discover the Secret Worlds of Animal Senses 
  ⭐⭐ Simplified Audio Guide ⭐⭐ 
  Are you eager to explore the fascinating worlds of animal senses and enhance your understanding of how different species perceive their environment? 
  Looking for a comprehensive guide that provides all necessary elements to unlock intricate marvels of animal sensory perception? 
  Your search ends here! 
  This audiobook serves as your definitive companion for deepening your knowledge, applying your skills, and engaging in hands-on observations. With this, you're geared for an enriching journey. 
  Updated insights on the latest research and discoveries in animal senses. 
  Key features of this enriched guide: 
  - Profound insights about the sensory perception of various animals 
  - Detailed explanations of how different species sense the world around them 
  - Effective strategies for studying and observing animal senses 
  Our guide distinguishes itself through comprehensive coverage, which is essential for a profound understanding of animal senses. Concepts aren't merely skimmed; they are delved into with precision. 
  Please note that this guide is not affiliated with any official animal research entity and is purely an independent resource for your benefit. 
  Designed with a clear structure and easy-to-understand language, our guide ensures smooth transitions between topics. Say goodbye to dense jargon and welcome clear, precise, and technically accurate content. 
  So, why wait? Click the BUY NOW button, secure your guide, and begin your journey to exploring the intricate marvels of animal sensory perception!

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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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