Otros libros que te pueden interesar

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  Java Web Development - Java...

  Christopher Wright

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  "Java Web Development: Java Unleashed: Crafting Enterprise-Level Solutions," is one comprehensive book that will give the developers the education for building solid, high performance Java web applications that are good enough to stand in an enterprise level. 
  Comprehensive covering of the book has essential and advanced information with regards to Java web development, from fundamental concepts into advanced frameworks Spring Boot, Hibernate. Bibliophile will learn how to build applications that are functional, scalable, secure, and maintainable-like that produced by industry standards. 
  With each chapter, the hard subject matter proves to be feasible pieces a reader can understand, making it with Java Servlets, JavaServer Pages (JSP), or in the creation of a RESTful API, concurrency, and databases all found within code. 
  Beyond this, the text is advancing on a study in the context of MVC architecture and session management of multiple web technologies applied after layer of another enterprise application development. 
  The book "Java Web Development" is designed to be armed with tools to approach common modern problems of web applications in improvement of performance, security improvement, and implementation best practices with real examples and case studies taken from reality. 
  This book is for medium-to-aces Java developers that would serve as a great learning tool and lasting reference for building and deploying their Java applications with confidence on scalability in the future of growth and technological advances. The guide would help develop improved skills and be even more actively working on a constantly changing enterprise solution in Java.

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  Data Analysis - Data Quality...

  Bright Mills

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  Data Analysis is a critical process in both academic and professional environments that involves inspecting, cleansing, transforming, and modeling data to discover useful information, derive conclusions, and support decision-making. It is foundational to nearly every field, from business and healthcare to engineering and social sciences. The ultimate aim of data analysis is to extract actionable insights from raw data, turning numbers and records into knowledge that can guide strategies and policy. 
  This paper provides an in-depth exploration of data analysis, covering both theoretical underpinnings and practical applications. It begins by defining what data analysis is and discussing its historical evolution. It delves into different types of data (quantitative, qualitative, structured, unstructured) and explains the steps in the data analysis lifecycle: from data collection and preparation to interpretation and reporting. 
  The paper further categorizes types of data analysis (descriptive, diagnostic, predictive, and prescriptive) and explains key techniques used in each. Statistical methods, data visualization, machine learning, and data mining approaches are thoroughly examined. Tools such as Excel, Python, R, and SQL are discussed in the context of their suitability for various analysis tasks. 
  Ethical considerations, data quality challenges, and real-world applications in industries like healthcare, marketing, finance, and public policy are also addressed. Finally, the paper concludes by highlighting emerging trends in data analysis, such as automated analytics and AI-driven insights. 
  This document serves as a comprehensive guide for students, researchers, professionals, and anyone interested in the field of data analysis, equipping readers with both conceptual knowledge and practical strategies to approach complex data-driven problems.

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  ChatGPT talks on science for...

  Paulo Dario

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  This book follows a series of "conversations" with these tools, mainly with "chatGPT 4.0" but also with "Bard". It's well known that chatGPT is hampered in its research up to a certain point in time and, because they are language modeling tools, they end up inventing... a lot, especially in bibliographic references. However, accessory tools are emerging that make it possible to improve and even correct this situation, tools that will certainly become much more powerful in the future, but which are already a reality. So, using all these AI tools, a book has been created that aims to be a pedagogical tool that answers a series of questions that can be asked by secondary and higher education students, or even people who are just interested in these issues, but who don't have the access or predisposition to use these types of AI tools.

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  Data Preprocessing - Optimizing...

  Brian Murray

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  Data Preprocessing: Optimizing Data Quality and Structure for Effective Analysis and Machine Learning is a comprehensive guide to the process of preparing data for analysis and machine learning. With the exponential growth of data in today's world, effective data preprocessing has become a critical step in the success of any data analysis or machine learning project. This book provides a detailed overview of the fundamental concepts, techniques, and best practices involved in data preprocessing, along with practical examples and case studies. 
  The book covers a range of topics, including data cleaning, transformation, integration, reduction, and discretization, as well as specific applications of data preprocessing for image, audio, text, and time-series data. The author provides an overview of the different tools and techniques available for data preprocessing, along with real-world examples and case studies in different industries and domains. 
  Readers will learn how to handle missing values, outliers, and irrelevant data, as well as how to transform, scale, and select features. They will also gain an understanding of the challenges involved in data preprocessing, as well as emerging trends and technologies in the field. Whether you are a data scientist, machine learning engineer, or analyst, this book is an essential resource for optimizing the quality and structure of your data for effective analysis and machine learning. 
   

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  Setting Boundaries That Stick -...

  LMFT Juliane Taylor Shore

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  Do you struggle to set boundaries with others in your life? Has your past conditioned you to expect pushback when setting boundaries, or caused you to give up on trying to set boundaries altogether? The prospect of setting boundaries can be scary and intimidating and can put you in a very vulnerable place where your mental health and wellbeing may even be at risk. There is a science to creating boundaries—one that will empower you, deepen your connection with others, and improve your self-esteem. 
   
   
   
  Setting Boundaries That Stick offers a scientific, neurobiological approach to boundary work. This unique guide will teach you to set healthy boundaries from the inside out by cultivating an "integrated brain," which allows you to respond to others with intention, rather than simply reacting based on instinct. Also included are exercises and activities to help you understand and create both physical and psychological boundaries, thereby building a solid, holistic framework for a more authentic sense of connection with others. 
   
   
   
  It's time to set boundaries in a way that empowers you to protect yourself, while also improving your relationships. By working from the inside out, this book will help you set healthy boundaries that actually stick.

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  Real Talk Real Hope - Breast...

  Loren Rourke

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  A breast cancer diagnosis changes everything. But with the right information—and the right support—you can face it with strength, strategy, and self-compassion. In Real Talk, Real Hope, breast surgeon Dr. Loren Rourke shares the guidance every patient deserves but rarely receives.

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