Weitere Bücher, die Sie mögen werden

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  Dealing with Early-Onset...

  Sonia Discher

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  Dealing with Early Onset Alzheimer's: Love, Laughter & Tears is Sonia Discher's heartbreaking but empowering story of caring for her husband, Steve. The story follows Steve's diagnosis with Early Onset Alzheimer's at age 50 through treatment, care and his passing. Sonia provides a look behind the curtain of this terrible sickness to reveal a treasure trove of tips and tricks she did to understand the disease, advocate for her husband, care for her family and preserve her sanity throughout a confusing and sad time. Functional, day-to-day tips about early warning signs, medication levels, and how to address doctors, nurses and other professional caregivers (among many other areas such as long-term care and hospital stays) are some of the valuable examples included in this personal story.

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  Ultimate Figma for UI UX Design...

  Aditi Sharma

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  Crack the Code to Solving Customer Problems with Exceptional User Experience Designs Powered by Figma.
  Book Description
  Figma is a powerful, collaborative design tool that has transformed the UI/UX design process. With its intuitive interface and advanced features, it enables seamless collaboration and the creation of exceptional user experiences, making it the go-to choice for designers.
  Ultimate Figma for UX/UI Design guides you through Figma’s capabilities, covering everything from the basics to advanced features, collaboration, and real-world applications. Each chapter includes hands-on exercises and examples to reinforce learning, covering topics such as Figma’s interface, design principles (shapes, colors, typography), UI element design, interactive prototypes, real-time collaboration, plugin integration, responsive design, and more.
  This book offers a structured approach for professionals at all design skill levels. Readers will gain tips, tricks, and best practices to enhance their efficiency, collaboration, and design skills, opening doors to success in UX design. Through practical exercises and real-world examples, this guide equips you to excel with Figma and become a proficient UX designer.
  Unlock your full design potential—dive into Ultimate Figma for UX/UI Design and start crafting exceptional user experiences today!
  Table of Contents
  1. Introduction to Figma
  2. Understanding Design Principles in Figma
  3. Mastering the Figma Interface
  4. Designing UI in Figma
  5. Prototyping and Iterating User Interface Design
  6. Advanced Design Techniques in Figma
  7. Collaboration and Team Workflows
  8. Integrating Plugins and External Tools
  9. Designing Responsively for Multiple Devices
  10. Real-World Projects and Case Studies      
  
  Index

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  Graph Data Science with Python...

  Timothy Eastridge

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  Practical approaches to leveraging graph data science to solve real-world challenges.
  Book Description
  Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills to tackle real-world challenges. You'll explore cutting-edge integrations with Large Language Models (LLMs) like ChatGPT to build advanced recommendation systems. With intuitive frameworks and interconnected data strategies, you'll elevate your analytical prowess. This book offers a straightforward approach to mastering graph data science. With detailed explanations, real-world examples, and a dedicated GitHub repository filled with code examples, this book is an indispensable resource for anyone seeking to enhance their data practices with graph technology. Join us on this transformative journey across various industries, and unlock new, actionable insights from your data. ?
  Table of Contents
  1. Introduction to Graph Data Science
  2. Getting Started with Python and Neo4j
  3. Import Data into the Neo4j Graph Database
  4. Cypher Query Language
  5. Visualizing Graph Networks
  6. Enriching Neo4j Data with ChatGPT
  7. Neo4j Vector Index and Retrieval-Augmented Generation (RAG)
  8. Graph Algorithms in Neo4j
  9. Recommendation Engines Using Embeddings
  10. Fraud Detection      
  CLOSING SUMMARY      The Future of Graph Data Science      
  Index

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  Scrumban - Comprehensive Guide...

  James Henry

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  Scrumban: Comprehensive Guide to Hybrid Agile Project Management is your ultimate resource for mastering the powerful blend of Scrum and Kanban. Designed for project managers, team leads, and agile practitioners, this book provides a clear and actionable path to implementing Scrumban in your organization. 
  Discover how to harness the structure and efficiency of Scrum while incorporating the flexibility and continuous flow of Kanban. From setting up your workflow, managing tasks, and visualizing progress to maximizing team efficiency, Scrumban empowers teams to adapt to changing requirements and deliver consistently high-quality results. 
  This guide covers everything from the basic principles of Scrum and Kanban to advanced Scrumban techniques, with practical examples and case studies to help you put theory into practice. Whether you're transitioning from a traditional agile framework or looking to optimize your current process, this book will show you how to streamline workflows, improve collaboration, and increase productivity. 
  Unlock the full potential of hybrid agile project management with Scrumban: Comprehensive Guide to Hybrid Agile Project Management! 
   

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  Turtles - A Complete Guide to...

  Angie Tracks

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  Turtles have long captivated the human imagination with their distinctive, often slow-moving nature and hard, protective shells. These fascinating creatures have been around for over 200 million years, making them one of the oldest surviving reptiles. Whether you encounter them in the wild or decide to keep one as a pet, turtles can offer an enriching and fulfilling experience. 
  This guide aims to provide you with comprehensive information to ensure that your turtle lives a long, healthy, and happy life in your care. Turtles may seem like low-maintenance pets at first glance, but they require specific care, attention, and an understanding of their needs. By learning about their biology, behavior, and specific habitat and dietary requirements, you will be better equipped to provide a comfortable and stimulating environment for your turtle. 
  The first step in becoming a responsible turtle owner is recognizing the responsibility that comes with keeping these animals as pets. Turtles can live for several decades, with some species reaching up to 50 years or more in captivity. This long lifespan means that owning a turtle is a commitment, and you must be prepared for the long-term care and attention they require.

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  Ultimate Machine Learning with...

  Parag Saxena

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  Master the Art of Data Munging and Predictive Modeling for Machine Learning with Scikit-Learn
  Book Description
  “Ultimate Machine Learning with Scikit-Learn” is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn.
  Beginning with foundational techniques, you'll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes.
  Transitioning into real-time data streams, you'll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis.
  By the end of the book you will master the art of data engineering and ML pipelines, ensuring you're equipped to tackle even the most complex analytics tasks with confidence.
  Table of Contents
  1. Data Preprocessing with Linear Regression
  2. Structured Data and Logistic Regression
  3. Time-Series Data and Decision Trees
  4. Unstructured Data Handling and Naive Bayes
  5. Real-time Data Streams and K-Nearest Neighbors
  6. Sparse Distributed Data and Support Vector Machines
  7. Anomaly Detection and Isolation Forests
  8. Stock Market Data and Ensemble Methods
  9. Data Engineering and ML Pipelines for Advanced Analytics
  Index

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