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  Machine Learning Operations for...

  Saimon Carrie

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  Machine Learning Operations for Beginners: A Practical Guide to Building, Deploying, and Managing Machine Learning Models is your comprehensive introduction to the world of MLOps. Designed for newcomers, this book demystifies the complexities of managing machine learning models in production environments, providing a clear and actionable path from data collection to model deployment and maintenance. 
  Discover the essentials of the machine learning lifecycle, including data preparation, model training, and evaluation. Learn how to set up scalable and efficient MLOps environments with the right tools and technologies. Dive into best practices for data management, version control, continuous integration, and deployment. Understand the critical importance of monitoring and maintaining models to ensure they perform accurately over time. 
  With real-world case studies and practical insights, this guide equips you with the knowledge and skills needed to successfully implement MLOps in various industries. Whether you are a data scientist, engineer, or aspiring machine learning practitioner, this book provides the foundational understanding and hands-on techniques to streamline and enhance your machine learning workflows. Start your MLOps journey with confidence and bring your machine learning models to life in production. 
   

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  Machine Learning Basics for...

  Prabhakar Veeraraghavan

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  Do you Want to add 'Machine Learning' skills to your LinkedIn profile? Are you ready to embark on the journey of Machine Learning from Basics? If Yes, then this book is for you! 
  Whether you're a curious novice or a tech enthusiast eager to dive into the realm of artificial intelligence, this book is your key to understanding the fundamental concepts that power the future.   
  This book provides the intricacies of Machine Learning with our 10 meticulously crafted chapters. Begin your journey with a warm welcome in the 'Introduction,' paving the way for a seamless exploration of the foundational principles in 'Foundations of Machine Learning’.  
  Navigate through the crucial terrain of 'Data Preprocessing and Feature Engineering' as you learn the essential techniques to refine and optimize your datasets. Take the leap into 'Building Your First Model,' where you'll witness the magic unfold as you breathe life into your machine learning project. 
  Unlock the power of predictive modeling with 'Supervised Learning Techniques,' and then delve into the mysteries of pattern recognition with 'Unsupervised Learning Techniques.' Our step-by-step approach ensures that even the most complex concepts become clear and accessible.  
  Venture into the future with 'Introduction to Deep Learning,' demystifying the advanced techniques that drive cutting-edge applications, and navigate the ethical dimensions of machine learning. Wrap up your learning journey with a glimpse into 'Future Trends in Machine Learning,' ensuring you stay ahead of the curve in this dynamic and ever-evolving field.

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  Peaceful Water Sounds With Deep...

  Dr. Laurence Goldman

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  Peaceful Water Sounds with Deep Forest Ambiance (Nature Sounds, Meditation, Relaxation Rivers & Babbling Brooks)Wilderness Stream is a digitally mastered audio book containing four hours of crisp clear water soundsdesigned for a power nap, meditation, and relaxation. It creates a natural atmosphere forsleep, yoga, your workplace, dinner time, morning coffee, driving, and for other special times in our life.

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  Digital Earth - Cyber threats...

  Sarah Katz

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  Digital Earth – Cyber threats, privacy and ethics in an age of paranoia
  Whether it's the next big ransomware attack or cyber terrorism, digital threats have evolved drastically in recent years. Issues surrounding phishing, misinformation, cyber terrorism, physical security, and privacy continue to arise for both individual users and large enterprises.
  With technology an intrinsic part of our everyday lives, we need to be aware of digital threats, and be able to identify other threats such as phishing, ransomware, and spyware before they can wreak havoc in our professional or personal lives.
  This book discusses the most prevalent technological threats that we face today. It is an accessible guide that highlights the most common cyber attacks, and explores data ethics and privacy in an age where we hold so much of our PII (personally identifiable information) online.
  It covers cyber threats such as phishing, disinformation versus misinformation in a post-COVID-19 world, cyber terrorism, and the power of social media, and analyzes ever-evolving privacy concerns in response to technological advances. For example, does the use of drones by law enforcement offer us complete security or raise questions around the privacy of citizens?
  The book focuses on:
  
  - The spike in phishing amid the COVID-19 pandemic
  - Cyber terrorism
  - The risks associated with social media
  - Whether drones are a search-and-rescue solution or the all-seeing eye in the sky

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  Tubes - A Journey to the Center...

  Andrew Blum

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  “Andrew Blum plunges into the unseen but real ether of the Internet in a journey both compelling and profound….You will never open an email in quite the same way again.”—Tom Vanderbilt, New York Times bestselling author of Traffic 
  In Tubes, Andrew Blum, a correspondent at Wired magazine, takes us on an engaging, utterly fascinating tour behind the scenes of our everyday lives and reveals the dark beating heart of the Internet itself. A remarkable journey through the brave new technological world we live in, Tubes is to the early twenty-first century what Soul of a New Machine—Tracy Kidder’s classic story of the creation of a new computer—was to the late twentieth.

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  Asynchronous Programming -...

  May Sherry

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  In the rapidly evolving world of software development, mastering asynchronous programming is essential for building high-performance, scalable systems. "Asynchronous Programming: Advanced Techniques, Patterns, and Best Practices for High-Performance Systems" offers an in-depth exploration of the tools, methodologies, and best practices that empower developers to harness the full potential of asynchronous programming. 
  This comprehensive guide is designed for experienced developers and software architects who want to deepen their understanding of asynchronous programming paradigms. It covers a broad spectrum of topics, including the evolution of asynchronous programming, the introduction of async and await keywords, and the integration of advanced techniques and patterns to optimize system performance. 
  "Asynchronous Programming: Advanced Techniques, Patterns, and Best Practices for High-Performance Systems" is an indispensable resource for professionals who aim to build cutting-edge applications that meet the demands of today’s fast-paced, data-driven world. With its blend of theoretical knowledge and practical insights, this book equips you with the skills needed to excel in the realm of asynchronous programming and develop high-performance, scalable systems. Whether you're enhancing existing applications or embarking on new projects, this guide will help you achieve your goals with confidence and precision. 
   

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