Otros libros que te pueden interesar

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  Remote Sensing Explained

  Aayush Agarawal

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  Remote Sensing Explained: From Satellites to Spatial Analysis is a comprehensive and accessible guide to the science, technology, and real-world applications of remote sensing. Written for students, educators, professionals, and curious readers alike, this book unpacks the complex world of Earth observation with clarity and purpose. It begins with the fundamental principles—exploring electromagnetic radiation, spectral reflectance, and sensor technologies—and progresses to advanced topics such as image classification, spatial analysis, and the integration of remote sensing with Geographic Information Systems (GIS). 
  The book offers rich insights into how satellite data is used across disciplines—from environmental monitoring and agriculture to urban planning, disaster management, and climate science. Through illustrative case studies, practical techniques, and emerging trends like UAVs, AI, and cloud-based geospatial platforms, readers gain both conceptual understanding and hands-on perspective. 
  Equally mindful of ethics and equity, the book also addresses critical challenges such as data accessibility, surveillance concerns, and the global digital divide. Whether you're seeking to enter the geospatial field, enhance your analytical skills, or better understand how we see and shape our world from above, this book is a timely and essential resource for navigating the future of Earth observation.

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  Compost after Reading - A...

  Cassandra Marketos

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  Get started on your composting journey with this practical, accessible, and fun guide to reducing your waste—including this book when you finish reading! Composting is so much more than just transforming food into soil; it is deeply existential, radical, and soul-opening. And no, it's not just for gardeners. You can compost in a bowl on your kitchen counter, or a bag under your sink, and you can compost things you're told you can't (although there are some things you probably shouldn't). Everyone can compost. And even if you're not going to compost at all, knowing about compost is engaging with a dialogue about zero waste.  With wry and brilliant writing, ​Cassanda Marketos brings the culture, beauty, community, and philosophy of compost to life in this one-of-a-kind, inventive work of narrative nonfiction that brings compost out of the dark ages and into the contemporary moment. Delightfully philosophical and inviting, it is an accessible guide to everything you need to know about compost, with actionable advice for beginners and experienced composters. You will learn why compost works, where to put your compost, how to pick your compost set up, the basics of decomposition, what to put in a compost pile, where to source your compost materials, and how to build a pile. With insights on what tools to consider, how to deal with odors, insects, and other critters, and transitioning your compost pile for colder weather, find easy-to-follow compost pile designs, tips on composting in small spaces, composting with worms, and how to compost things you're always told you can't (you just need to know how).  This book has something for everyone, at any stage in their compost journey, and includes edgy, delightful illustrations by the artist Sludge Thunder throughout. And ... it's literally compostable. Read it, follow the advice, and toss it into your compost pile.

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  Before We Go Live - Navigating...

  Stephen Flavall

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  ‘Starting out, I made three dollars an hour; then I made four, then eight. After a year and a half of streaming full-time I was finally making minimum wage. A couple of years after that I was signed to a professional team and advertising products to my audience for $1,000 an hour.’ 
  Streaming video games is now a billion-dollar industry. In 2022, Twitch alone has over 140 million active monthly users, with top players earning millions each year. But success breeds envy, and when big money’s being made, everyone wants a piece. 
  In Before We Go Live, professional streamer Stephen Flavall, aka ‘jorbs’, invites the reader behind the scenes of this new frontier. 
  From the boardrooms of LA to doctors' offices in the Midwest, dealing with trolls and stalkers to mingling with crypto scammers and ruthless opportunists, Before We Go Live is both a true story about the dark realities of streaming and the tale of a deep and enduring friendship. 
  It’s about what happens when real life intersects with entertainment, and learning to act with kindness and humour in an online world full of prejudice and abuse. 
  This audiobook edition is narrated by Ray Chase, voice of Noctis Lucis Caelum, L, and Bruno Buccellatti.

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  Agile Project Management with...

  Alexa Campbell

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  Discover the secrets to becoming an excellent project manager! 
  Do you want to become a better project manager? 
  What skills can you improve to do your job more efficiently? 
  How can you implement an agile methodology to improve your team’s productivity? 
  What mistakes should you avoid while managing your team or a project? 
  Do you want to discover the answers to these questions? 
  If yes, this is the perfect book for you! 
  Another project management methodology is called “scrum.” When the two are combined, it automatically improves the overall results of any team. It also ensures that the team is functioning in a way that enables continuous collaboration, cooperation, and innovation. 
  In this book, you will:Understand the meaning of project management and the role of a project manager.Learn about the importance of project management and methodologies.Delve into Agile project management methodology and its implementation.Learn about the Scrum framework and the steps needed to use it.Learn the different skills all project managers must possess.Have access to tips to create and manage a highly-productive team.Learn about the tools needed to improve productivity using project management.Learn about the mistakes to avoid to become an excellent project manager, and much more! 
  Are you eager to learn more about all this? If yes, what are you waiting for? Take your first step toward becoming a better project manager by grabbing your copy of this book today!

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  Machine Learning System Design...

  James Ferry

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  Designing and building machine learning (ML) systems can seem daunting for beginners, but understanding the foundational steps and principles can simplify the process. At its core, ML system design involves a series of well-defined steps that guide the transformation of raw data into valuable insights through predictive models. Here’s a beginner’s guide to understanding and implementing these steps effectively. 
  The first step in designing an ML system is problem definition. Clearly defining the problem you aim to solve is crucial. This involves understanding the business context, identifying the goals, and determining the type of problem—whether it is classification, regression, clustering, or another ML task. A well-defined problem ensures that the subsequent steps are aligned with the desired outcomes. 
  Once the problem is defined, the next step is data collection and preprocessing. Data is the backbone of any ML system, and its quality significantly impacts the performance of the models. Collect data from various sources and ensure it is relevant to the problem. Data preprocessing involves cleaning the data to handle missing values, removing duplicates, and normalizing the data. It also includes feature engineering, which involves selecting, modifying, or creating new features that enhance the predictive power of the model. 
  Finally, the deployment and monitoring phase ensures that the ML model is operational and continues to perform well over time. Deploy the model to a production environment where it can make real-time predictions or be used in batch processing. Implement monitoring systems to track the model’s performance and detect any drift in data distribution that might require retraining the model. Regularly update the model with new data to maintain its accuracy and relevance. 
   

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  Data Science and Machine...

  Dominic Brooks

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  Do you find the transformational power of data fascinating? Are you interested in the algorithms that reveal patterns buried in large datasets? Go on a captivating adventure with "Data Science and Machine Learning: Data Science and Machine Learning Demystified- A Beginner's Guide." With the help of this book, you may explore the exciting world of data science and gain the fundamental skills required to negotiate the tricky terrain of intelligent algorithms successfully. 
  Explore the core of data science with this all-inclusive guide. We break down the complex ideas so you can understand the three pillars of the field: programming, domain knowledge, and statistics. You will get the necessary skills to extract meaningful insights from data with the help of this book, which covers everything from understanding data sources and types to understanding feature engineering. 
  Imagine being able to categorize data, forecast results, and make defensible judgments based on insights from data. With the help of our book, you will become acquainted with the field of machine learning and discover the fundamental algorithms that spur creativity. Your motivation to learn more will be fueled by the attraction of finding hidden patterns and having the power to influence entire industries. 
  Gain knowledge to empower yourself and set off on a life-changing adventure. A companion on your journey to becoming an expert in data science, "Data Science and Machine Learning: Data Science and Machine Learning Demystified- A Beginner's Guide" is more than simply an book. This guide provides the groundwork for your investigation, including supervised and unsupervised learning, ethical issues, and practical applications. Uncover the countless opportunities data science and machine learning presents by beginning your journey today.

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