Other books that might interest you

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  Women and Wealth - A Playbook to...

  Cary Carbonaro

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  In Women and Wealth, award-winning author and certified financial planner Cary Carbonaro delivers a practical and insightful guide for financial services professionals who want to better serve their female clients. 
   
   
   
  The author explains the unique needs of women clients, the unique psychology driving their financial decisions, and their reasonable demands for personalized client care. She also offers real-world examples and case studies you can use to better serve women who reach out for personal finance and wealth management advice. Inside the book: 
   
   
   
  ● Why "bro-culture" is killing the financial services industry and ignores the fastest growing demographic on every professional's client list 
   
   
   
  ● Why women leave their financial advisors and what you can do to improve female client retention 
   
   
   
  ● Avoiding the "widows and divorcees" stereotypes of female clients and understanding the psychology of female breadwinners 
   
   
   
  A unique and powerful roadmap for financial services professionals seeking to better understand and serve women, Women and Wealth is a must-listen for financial advisors and planners, insurance agents, bank and credit union representatives, and accountants everywhere.

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  SAS For Dummies 3rd Edition

  Chris Hemedinger

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  Data and analytics are essential for any business, giving insight into what's working, what can be improved, and what else needs to be done. SAS software helps you make sure you're doing data right, with a host of data management, reporting, and analysis tools. SAS For Dummies teaches you the essentials, helping you navigate this statistical software and turn information into value. In this book, learn how to gather data, create reports, and analyze results. You'll also discover how SAS machine learning and AI can help deliver decisions based on data. Even if you're new to data and analytics, this guide will turn you into an SAS power user. 
   
   
   
  ● Become familiar with the most popular SAS applications 
   
   
   
  ● Connect to data, organize your information, and adopt sound data security practices 
   
   
   
  ● Get a primer on working with data sets, variables, and statistical analysis 
   
   
   
  ● Explore and analyze data through SAS programming and rich application interfaces 
   
   
   
  ● Create and share graphs interactive visualizations to deliver insights 
   
   
   
  This is the perfect Dummies guide for new SAS users looking to improve their skills—in any industry and for any organization size.

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  Testing in Software Development...

  Ben Rizer

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  In today's fast-paced world of software development, ensuring the reliability and quality of applications is crucial. Testing in Software Development for Beginners: Building a Strong Foundation in Software Testing Principles and Practices serves as a comprehensive guide for those starting their journey into the vital field of software testing. 
  This book breaks down complex testing concepts into easily digestible sections, making it an ideal starting point for beginners. From understanding the fundamentals of different types of testing—like unit, integration, system, and user acceptance testing—to exploring essential testing techniques and tools, this guide provides a solid foundation for developing high-quality software. The book also introduces industry best practices, including Test-Driven Development (TDD), Continuous Testing in CI/CD pipelines, and how to incorporate testing into agile and iterative methodologies. 
  This book will help you grasp the principles and equip you with practical skills for testing modern software applications. Featuring real-world examples, practical exercises, and step-by-step tutorials, Testing in Software Development for Beginners is your go-to resource for building confidence and competence in software testing from the ground up. 
  Prepare to embark on a rewarding journey to mastering the essential skills needed to contribute to the success of software projects, ensuring quality and consistency in every release! 
   

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  Myology - Muscles in Motion: The...

  Mike Crawford

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  Myology is the scientific study of muscles, their structure, function, and role in movement. Muscles are fundamental to human life, enabling everything from basic motions such as breathing and walking to complex athletic performances. Without muscles, the human body would be incapable of movement, stability, or even essential functions such as circulation and digestion. Understanding myology provides valuable insight into how the body operates, adapts, and responds to physical demands. 
  The importance of studying muscles extends beyond movement. Myology is crucial in various fields, including medicine, sports science, physical therapy, and rehabilitation. Muscle health affects overall well-being, influencing strength, endurance, posture, and even metabolic function. For athletes, understanding muscle mechanics helps optimize performance and prevent injuries. In the medical field, myology plays a key role in diagnosing and treating muscular disorders, ranging from simple strains to complex neuromuscular diseases. 
  The study of muscles dates back thousands of years. Ancient Greek physicians, including Hippocrates and Galen, laid the groundwork for myology, describing muscle function in relation to human anatomy. Leonardo da Vinci’s anatomical drawings provided further insights into muscle structure and movement. As medical knowledge advanced, scientists discovered the microscopic components of muscles, leading to a deeper understanding of their biochemical and physiological properties. Today, modern technology, such as electromyography (EMG) and imaging techniques, allows researchers to study muscle function in greater detail than ever before.

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  Second Lives - The Journey of...

  Ralph B. Lilly MD, Diane F....

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  One man’s journey from doctor to patient to healer. Second Lives is a first-hand account of neurologist Ralph Lilly’s recovery from a traumatic brain injury and how the lessons of his recovery enabled him to help others with their own recoveries.  
  “Discharged from a hospital just means you’re not dead.” These words of Ralph B. Lilly, M.D., describe his early struggle to recover from a traumatic brain injury. Lilly was a forty-four-year-old practicing neurologist sitting on his motorcycle at a red light when a drunk driver rear-ended him in 1980. In the ICU, after regaining consciousness and being told what happened, he asked, “What’s a hospital? What’s a motorcycle?” This tragic experience transformed his life and his approach to his neurology practice: doctors treat those with brain injury; but loved ones heal them. 
  Second Lives: The Journey of Brain Injury Survivors and Their Healers is written by Dr. Lilly and Diane F. Kramer. After his death in 2021, Kramer completed the book with the assistance of Lilly’s wife, Joyce Stamp Lilly. This memoir weaves together Ralph Lilly’s experience with a collage of stories about his patients and their healers. After his recovery, Lilly retrained in the emerging field of behavioral neurology, which focuses on behavior, memory, cognition, and emotion after brain injury.

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  Low-Code AI - A Practical...

  Michael Abel, Gwendolyn Stripling

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  Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. 
   
   
   
  Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. 
   
   
   
  You'll learn how to distinguish between structured and unstructured data and the challenges they present; visualize and analyze data; preprocess data for input into a machine learning model; differentiate between the regression and classification supervised learning models; compare different ML model types and architectures, from no code to low code to custom training; design, implement, and tune ML models; and export data to a GitHub repository for data management and governance.

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