D'autres livres qui pourraient vous intéresser

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  Make Money Online for Beginners...

  Daren H. Russell

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  If you want to discover how to make money online from the comforts of your home using your skills and passion, keep reading… 
  The unemployment rate has gone up 14.7% - the highest rate and the largest over-the-month increase in the data's history, with the number of unemployed individuals increased by 15.9 million to a shocking 23.1 million. 
  According to the Pew Research Center, income inequality in the U.S has increased since 1980 and is greater than in peer countries. 
  If you've suffered from a recent job loss or are currently underpaid, the stress it gives can take a lot of toll on you. You may find yourself wondering if there's a solution to earn income using your skills and even passions. 
  And yes, there is: making money on the internet. 
  Studies have confirmed that making money online is a wonderful opportunity for you to work on and earn income during these times of uncertainty. The key now is to find a go-to resource that will help you achieve that. 
  In this complete step-by-step guide, "Make Money Online for Beginners", longtime online income author Daren H. Russell shares all his professional insights on how to make money online for beginners, including: 
  - How to make money from home and get more work opportunities with the job experience you already have 
  - Tips to get started right away and earn your first dollar online - using only basic internet skills 
  - Special techniques on landing projects from 3 of the world's most popular sites where buyers flock to every single day 
  - More than 15 of the most common mistakes when working online revealed and how to avoid them to save you both time and effort 
  And much, much more! 
  If you follow the book's step-by-step roadmap, not only will you be equipped with the information you need to make money, but you will also speed up your process for income breakthrough - in the comforts of your own home.

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  Introduction to Artificial...

  Ruchini Kaushalya

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  **Unlock the Power of Artificial Intelligence: Your Ultimate Guide** 
  Feeling overwhelmed by AI? Struggling to grasp its potential? "Introduction to Artificial Intelligence - A Comprehensive Guide" is here to help! This audiobook demystifies AI, making it accessible to everyone, regardless of technical background.  
  **Benefits:** 
  1. **Clarity:** Understand AI with easy-to-digest explanations. 
  2. **Applications:** Discover how AI revolutionizes industries like healthcare, finance, and marketing. 
  3. **Empowerment:** Make informed decisions about AI adoption in your projects. 
  4. **Problem-Solving:** Use AI algorithms to tackle real-world problems. 
  5. **Career Boost:** Acquire in-demand AI skills to advance your career. 
  6. **Future-Proofing:** Stay relevant in an evolving technological landscape. 
  Don't let confusion hold you back. Embrace AI with confidence. Click "Buy Now" and transform your life and career with the ultimate AI guide. Act now!

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  The Cyber-Elephant In The...

  Mathieu Gorge

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  We’ve all read the cybersecurity horror stories: a prominent company exposes the private information of their customers only to scramble after the fact to apologize and safeguard the data. Cybersecurity is often an afterthought, a much lower priority than profit—until a data breach threatens the bottom line anyway. 
   
  In The Cyber-Elephant in the Boardroom, data security expert and CEO Mathieu Gorge, along with a host of guests, shows why protecting a company’s data should be top of mind for C-suites and corporate boards. With the innovative 5 Pillars of Security Framework, any C-level executive can understand their organization’s cyber risk and the steps they need to take to protect their information. There’s a cyber-elephant in the boardroom and it needs to be addressed!

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  Medical Ethics - Medical School...

  AudioLearn Medical Content Team

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  AudioLearn’s Medical School Crash Courses presents Medical Ethics. Written by experienced professors and professionally narrated for easy listening, this crash course is a valuable tool both during school and when preparing for the USMLE, or if you’re simply interested in the subject of Medical Ethics. The audio is focused and high-yield, covering the most important topics you might expect to learn in a typical Medical school Medical Ethics course. Included are both capsule and detailed explanations of critical issues and topics you must know to master Medical Ethics. The material is accurate, up to date and broken down into bite-sized sections. There are key takeaways following each section to drive home key points and quizzes to review commonly tested questions. In this course, we'll cover the following topics: Approaches to ethics, Patient competence and decision making capacity, Confidentiality and medical records, Reproductive health ethics, End of life ethics, Physician-patient relationship ethics in global health, Research ethics, Decision making in ethical dilemmas. Also included is a comprehensive test containing the top 100 most commonly tested questions in medical ethics with the correct answers. To get the most out of this course, we recommend that you listen to the entire audio once while taking notes, then go back and listen to areas you had difficulties with. AudioLearn's Medical School Crash Courses support your studies, help with USMLE preparation and provide a comprehensive audio review of the topic matter for anyone interested in what medical students are taught in a typical medical school medical ethics course.

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  Basics of Data Analysis - An...

  SAM CAMPBELL

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  In the digital era, where data is the new currency, understanding how to analyze, interpret, and effectively use data is crucial for success in any field. "Basics of Data Analysis: An Introduction to Understanding and Interpreting Data for Effective Decision Making" is your comprehensive guide to mastering the foundational concepts and techniques of data analysis. This book demystifies the complex world of data, making it accessible to beginners and invaluable to professionals looking to refresh their knowledge. 
  Crafted with the novice in mind, this book starts from the ground up, introducing you to the fundamental principles of data analysis without requiring a background in mathematics or statistics. Through a blend of theoretical concepts and practical applications, you will learn how to transform raw data into meaningful insights that can drive decision-making and strategic planning. 
   

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  Data Scaling and Normalization -...

  Chuck Sherman

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  "Data Scaling and Normalization: A Comprehensive Guide to Enhancing Data Quality and Model Performance" offers an in-depth exploration of the crucial techniques used in preprocessing data to enhance the quality of machine learning models. Designed for data scientists, machine learning engineers, and analysts, this book provides a clear and comprehensive understanding of how scaling and normalization techniques impact model accuracy, efficiency, and interpretability. 
  Inside, you'll find detailed explanations of the core concepts of data scaling and normalization, including Min-Max scaling, Z-score normalization, robust scaling, and more. The book covers when and how to apply these techniques to various types of data, from numerical to categorical, and explores their role in improving model convergence, reducing biases, and enhancing generalization. 
  Key topics include:The importance of data scaling and normalization in preparing data for machine learning modelsPractical applications of scaling and normalization methods across different machine learning algorithmsReal-world examples and case studies showcasing the impact on model performanceAdvanced techniques and considerations for scaling complex datasetsBest practices for ensuring data quality through preprocessing 
  With step-by-step guidance, code examples, and expert insights, this book is an essential resource for anyone looking to master data preprocessing and take their machine learning models to the next level.  
  This comprehensive guide will help you understand the nuances of scaling and normalization and how they directly affect the success of your machine learning projects. 
   

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