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  Regression Analysis - A...

  Simon Winston

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  In this insightful and accessible book, readers will embark on a journey through the intricate world of regression analysis, gaining a profound understanding of how this statistical technique empowers businesses, researchers, and analysts to make informed predictions and optimize outcomes. 
  "Regression Analysis: A Comprehensive and Clear Guide to Predictive Modeling" is your go-to resource for mastering the art and science of regression analysis. Empower yourself with the skills to unlock the potential hidden within your data and make data-driven decisions that drive success. 
   

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  Ulcers

  Hippocrates

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  The ancient Greek physician Hippocrates is often credited with being the first to identify ulcers as a medical condition. In his famous treatise On the Sacred Disease, Hippocrates describes ulcers as open sores that can occur on the skin or mucous membranes. He notes that ulcers are often painful and may be accompanied by fever, swelling, and redness. Read in English, unabridged.

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  Elon & The Future That Forgot Us

  Marcus Reed

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  Elon & The Future That Forgot Us is a meditation on what happens when progress evolves faster than empathy. It chronicles the transformation of technology from servant to sovereign, exploring how humanity built machines in its image — and was quietly erased from the design. The story unfolds as both prophecy and elegy, examining our collective faith in innovation, the myth of genius, and the loneliness of a world that remembers everything except why it was created. Through poetic reflection, it questions whether the future we built can still recognize us, and whether memory — not speed — might be our last act of rebellion.

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  Data as a Product - 3 in 1 Guide

  Chuck Sherman

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  In the digital age, data has become the lifeblood of the modern world. From businesses and industries to governments and individuals, the value of information cannot be overstated. "Data as a Product: Elevating Information into a Valuable Product" is a comprehensive and enlightening exploration of the role data plays in shaping our world and how it can be transformed into a valuable asset. 
  This book delves into the foundations of data, providing readers with a clear understanding of what data is and the different types it comes in. From structured data in databases to unstructured data in texts and images, readers will grasp the diverse forms of information that drive decision-making processes. 
  Building upon the foundations, the book explores data collection, storage, preprocessing, and cleaning techniques. Readers will gain practical insights into managing data quality and integrity, ensuring that the information they work with is accurate and reliable. 
  With data at hand, the book takes readers on a journey into the world of data analysis and visualization. Through exploratory data analysis and statistical techniques, readers will learn to extract valuable insights from raw data and present them in compelling visualizations. 
  As the book progresses, it dives into the realm of data-driven decision-making. Readers will discover how data can be harnessed to drive strategic business decisions, creating a competitive edge in a data-centric world. Monetizing data assets is also explored, uncovering various models

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  Python Machine Learning for...

  Brian Murray

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  "Python Machine Learning Essentials: 3 in 1 Guide" is a comprehensive guide for beginners who want to learn machine learning with Python. In this book, you will learn the foundations of machine learning, including different types of algorithms and the importance of data preprocessing. You will also learn how to build your first AI application, from collecting and preprocessing data to building and training a model, and then deploying and testing the application. 
  As you progress through the book, you will explore advanced machine learning techniques such as deep learning and convolutional neural networks for image recognition. You will also learn how to apply machine learning to real-world problems, such as building a spam filter, predicting stock prices, and performing sentiment analysis. 
  Throughout the book, you will learn best practices for machine learning in Python, including tips for efficient data preprocessing, strategies for selecting the right machine learning algorithm, techniques for optimizing model performance, and debugging common errors. 
  By the end of the book, you will have the skills and knowledge needed to build your own machine learning applications with Python. Whether you're new to programming or have experience in other languages, "Python Machine Learning Essentials: Build Your First AI Application" will help you unlock the power of artificial intelligence and take your skills to the next level. 
   

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  The Tale of Daddy Long Legs

  Arthur Scott Bailey

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  Arthur Scott Bailey (1877 – 1949) was author of more than forty children's books. He was born on November 15, 1877, in St. Albans, Vermont, United States, the second child of Winfield Scott Bailey and Harriet Sarah Goodhue.THERE was great excitement in the neighborhood of Farmer Green's house. Rusty Wren had found some strange tracks. And nobody knew whose they were.Now, when they were puzzled like that the field- and forest-folk usually went straight to Mr. Crow for advice. But this time it happened that the old gentleman had gone on an excursion to the further side of Blue Mountain, where Brownie Beaver lived. And there seemed to be no one else at hand who was likely to be able to explain the mystery. http://www.gutenberg.org/etext/21426

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