Otros libros que te pueden interesar

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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 Interviews -...

  Susan Shu Chang

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  As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. 
   
   
   
  Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. 
   
   
   
  This guide shows you how to: explore various machine learning roles, including ML engineer, applied scientist, and data scientist; assess your interests and skills before deciding which ML role(s) to pursue; evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process; acquire the skill set necessary for each machine learning role; ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions; and prepare for interviews in statistics and machine learning theory by studying common interview questions.

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  Implementing Data Mesh - Design...

  Eric Broda, Jean-Georges Perrin

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  As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization. 
   
   
   
  In this book, Jean-Georges Perrin and Eric Broda focus on the key components of data mesh and provide practical advice supported by code. Data engineers, architects, and analysts will explore a simple and intuitive process for identifying key data mesh components and data products. You'll learn a consistent set of interfaces and access methods that make data products easy to consume. 
   
   
   
  This approach ensures that your data products are easily accessible and the data mesh ecosystem is easy to navigate. This book helps you identify, define, and build data products that interoperate within an enterprise data mesh; build a data mesh fabric that binds data products together; build and deploy data products in a data mesh; establish the organizational structure to operate data products, data platforms, and data fabric; and learn an innovative architecture that brings data products and data fabric together into the data mesh.

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  Father Nature - The Science of...

  James K. Rilling

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  We all know the importance of mothers. They are typically as paramount in the wild as they are in human relationships. But what about fathers? In most mammals, fathers have little to no involvement in raising their offspring—and sometimes even kill the offspring sired by other fathers. How, then, can we explain modern fathers having the capacity to be highly engaged parents? In Father Nature, James Rilling explores how humans have evolved to endow modern fathers with this potential and considers why this capacity evolved in humans. 
   
   
   
  Paternal caregiving is advantageous to children and to society at large, yet variable both across and within human societies. Rilling considers how to explain this variability and what social and policy changes might be implemented to increase positive paternal involvement. Along the way, Father Nature also covers the impact fathers have on children's development, the evolution of paternal caregiving, how natural selection adapted male physiology for caregiving, and what lessons an expecting father can take away from the book, as well as what benefits they themselves get from raising children, including increased longevity and "younger" brains. 
   
   
   
  A beautifully written book by a father himself, Father Nature is a much-needed—and deeply rewarding—look at the science behind "good" paternal behavior in humans.

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  The AI Odyssey - Navigating the...

  Catherine Sterling

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  The book "The AI Odyssey: Navigating the Future of Innovation and Technology" thoroughly examines the quickly changing field of artificial intelligence (AI) and its significant influence on a range of facets of contemporary life.  
  This book goes deeply into the principles of artificial intelligence (AI), giving readers a clear idea of what AI is and how it works. The initial part of the book traces the development of AI, emphasizing significant turning points and discoveries that have influenced the field. It provides a complex analysis of how artificial intelligence has developed from its theoretical inception to its current position as a pillar of technological advancement. 
  The book spends much time looking at how AI is used in different industries. The author skillfully demonstrates how artificial intelligence transforms healthcare, transportation, finance, and education industries. The book explains the transformative impact of AI through case studies and real-world examples, demonstrating how it is being utilized to increase production, improve efficiency, and open up new opportunities. 
  Moreover, the ethical and societal implications of AI are covered in this book. It explores the challenges and concerns about security, privacy, and the possibility of employment displacement. The book promotes a balanced viewpoint by addressing the necessity of ethical AI development and the significance of putting in place legal frameworks to guarantee that AI's advantages are maximized while lowering its risks.

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  Radiolab: The Feels

  Radiolab

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  Radiolab wants to get you in your feels. If you need a good laugh, a deep cry, or a broad smile, this audiobook is for you. Radiolab has gone into the archive and pulled out stories bound to make you feel something. In five chapters, we cover tales of Attachment, Confusion, Love, Grief and Bliss. We are leaving no stone unturned in our attempt to tug at your heartstrings. We will explore the depths of the sea floor, go deep into the jungle, verge into big cities, and even peek into the grave.

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