Outros livros que poderiam interessá-lo

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  Power BI - Unleashing Insights...

  Brian Murray

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  In today's data-driven world, businesses need to extract meaningful insights from their data to stay ahead of the competition. Power BI, a cloud-based business intelligence platform by Microsoft, has emerged as a leader in providing advanced analytics and visualization capabilities to businesses of all sizes. 
  In "Power BI: Unleashing Insights with Power BI. A Comprehensive Guide to Data Visualization and Business Intelligence", readers will gain a comprehensive understanding of the key concepts, tools, and techniques used in data visualization and business intelligence with Power BI. The book provides a step-by-step guide to leveraging Power BI to drive business growth and efficiency. 
  Starting with an introduction to data visualization and business intelligence, the book delves into the fundamentals of Power BI, including data modeling, data transformation, data visualization, and data analysis. It provides practical insights into how to create compelling dashboards, reports, and interactive visualizations that deliver actionable insights to stakeholders. 
  Readers will learn best practices for Power BI, including security considerations and cost-saving measures. The book also covers advanced topics such as machine learning, natural language processing, and integrating Power BI with other Microsoft technologies. 
  “Power BI: Unleashing Insights with Power BI. A Comprehensive Guide to Data Visualization and Business Intelligence” is an essential guide for anyone looking to leverage the power of data with Power BI. With this book, you can unleash the true potential of your business and stay ahead of the competition. 
   

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  Ultimate Google Professional...

  Shounak Acharya

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  Architect Google Cloud Solutions That Go Beyond Certification
  Key Features? Master core GCP services, including Compute, Storage, and Networking.? Apply GCP design patterns to real-world enterprise architecture.? Prepare with exam-focused guidance, diagrams, and case scenarios.
  Book Description
  In today’s cloud-first world, the Google Cloud Professional Cloud Architect certification stands as one of the most respected credentials in enterprise IT. Ultimate Google Professional Cloud Architect Certification Guide is your companion to achieving that goal.
  This book goes far beyond exam preparation. It is a hands-on, real-world companion that walks you through every architectural decision-making point you will face on Google Cloud Platform (GCP). You will begin with the building blocks, such as Compute Engine, Autoscaling, Load Balancing, and Storage. From there, you will navigate through advanced networking, managed services like App Engine, and orchestration, using Google Kubernetes Engine (GKE).
  Table of Contents
  1. GCP Compute Engine
  2. Autoscaling and Load Balancing
  3. GCP Storage Infrastructure (Block, File, and Object)
  4. GCP Networking
  5. Introduction to Managed Services on GCP and App Engine
  6. Google Kubernetes Engine
  7. Serverless Google Run Functions and Google Cloud Run
  8. Introduction to Asynchronous Communication in GCP
  9. Databases in GCP Overview
  10. Relational, NoSQL, and Caching Databases
  11. Authentication with Google Cloud IAM
  12. Exploring IAM, Project Organization, and Encryption
  13. Exploring Data Warehousing and Data Lifecycle on GCP
  14. Google Cloud Operations Suite
  15. Agile, DevOps, SRE, SDLC, and Other Important GCP Topics       
  
  Index

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  The FACE Book - Functional and...

  L. Douglas Knight

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  Dr. Douglas L. Knight educates patients on why orthodontic care is so much more important and comprehensive than most understand.FACE-trained orthodontists don’t just care about aesthetics or have the singular goal to straighten teeth.They solve the fundamental, underlying issues and have a goal-oriented approach that considers the health of the entire person, valuing long-term, stable outcomes.

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  In Search of Darkness - The...

  Dirk Fallon

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  Dark matter is one of the greatest mysteries in the universe. Despite being invisible and undetectable by traditional means, it accounts for a significant portion of the universe’s mass. It has been a subject of scientific inquiry for over a century, and yet, it remains largely elusive. The term "dark matter" was first coined in the 1930s by astronomer Fritz Zwicky when he observed that galaxies in clusters were moving much faster than expected based on the visible matter they contained. Zwicky hypothesized that there must be some unseen mass, which he referred to as "dark matter," to explain the extra gravitational pull. This idea was revolutionary at the time, but it took decades for the concept of dark matter to gain widespread acceptance in the scientific community. 
  In the following years, astronomers and physicists continued to gather indirect evidence for dark matter’s existence. The observation of galaxy rotation curves provided another compelling clue. Galaxies, such as our Milky Way, were found to rotate faster at their outer edges than could be explained by the visible matter alone. If only the mass of the stars and gas were considered, the galaxies would not be able to maintain their rotation speeds without breaking apart. However, the additional gravitational influence of dark matter seemed to explain this discrepancy, pointing to its presence. 
  Despite this evidence, scientists still have no direct way to detect dark matter. It does not emit, absorb, or reflect light, making it invisible to traditional telescopes and detectors. The most that can be done is to observe its effects on visible matter, radiation, and gravitational forces. The hunt for dark matter has since become a driving force in astrophysics and particle physics, with scientists developing new methods and tools to try and detect it.

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  Machine Learning - Unraveling...

  Chuck Sherman

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  "Machine Learning: Unraveling the Algorithms of Intelligence” In this captivating exploration, you'll traverse the ever-expanding realm of artificial intelligence and machine learning, guided by a comprehensive and insightful narrative. 
  From its origins in the visionary minds of early computer scientists to its current status as a driving force behind technological innovation, machine learning's evolution is vividly brought to life. Delve into the heart of supervised learning algorithms, where linear regression, logistic regression, decision trees, support vector machines, and neural networks form the bedrock of predictive analytics. 
  Venturing deeper, the book unravels the mysteries of unsupervised learning, illuminating clustering techniques, dimensionality reduction, and the crucial task of anomaly detection. With clarity and precision, it demystifies the captivating world of reinforcement learning, painting a vivid picture of agents learning to navigate and excel within complex environments. 
  The journey wouldn't be complete without the profound influence of deep learning and neural networks. Traverse the landscapes of multilayer perceptrons, convolutional neural networks, recurrent neural networks, and generative adversarial networks, witnessing the power of AI to understand and create. 
  Whether you're an AI enthusiast, a student diving into the world of data science, or a professional seeking to stay ahead in the AI race, this book promises to be your guiding light. With a balanced blend of theory, practical insights, and ethical considerations, it equips you to navigate the complexities of machine learning while fostering a deep appreciation for the intertwined destiny of humanity and technology." 
   

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  Paleoclimatology - Climates of...

  Mike Crawford

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  Paleoclimatology is the study of past climates, offering insights into how Earth's climate system has changed over millions of years. By examining ancient climate patterns, scientists can better understand the mechanisms driving climate change and apply this knowledge to modern and future climate predictions. Unlike modern meteorology, which focuses on short-term weather patterns, paleoclimatology reconstructs long-term climate trends using indirect evidence from natural records. 
  One of the fundamental reasons for studying past climates is to identify natural climate variability and distinguish it from human-induced changes. The Earth's climate has undergone significant shifts, from ice ages to warm interglacial periods, often driven by factors such as variations in solar radiation, volcanic activity, and changes in ocean currents. Understanding these past fluctuations helps scientists assess current climate trends in a broader historical context. 
  Reconstructing ancient climates relies on multiple sources of evidence, known as climate proxies. These proxies include ice cores, tree rings, sediment deposits, and fossilized remains, each providing valuable data about past temperatures, atmospheric composition, and precipitation patterns. Ice cores, for example, contain trapped air bubbles that reveal historical levels of greenhouse gases such as carbon dioxide and methane. Tree rings can indicate annual climate variations, with thicker rings often signifying favorable growing conditions and thinner rings reflecting harsher climates. Sediment layers from oceans and lakes provide further clues about past environmental conditions, preserving pollen, microorganisms, and mineral compositions that reflect climate changes over thousands or even millions of years.

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