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Descomplicando Investimentos
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Book Synopsis Descomplicando investimentos by : Fernando Tempel
Download or read book Descomplicando investimentos written by Fernando Tempel and published by Primavera Editorial. This book was released on 2017-11-21 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Descomplicando investimentos foi escrito pensando no investidor individual brasileiro do início do século XXI. Aquele investidor que não trabalha no mercado financeiro, mas tem a sua profissão (seja ela qual for), ganha dinheiro e tem necessidade de investir o seu próprio capital. Pensado para suprir tanto as necessidades do investidor iniciante, que nunca leu outra obra sobre investimentos e que tem poucos conhecimentos sobre investimentos, finanças e matemática, como de investidores experientes, que investem há muitos anos e já estudaram muito sobre o assunto, mas desejam aprender mais. O livro é baseado na consagrada metodologia do Value Investing, que tem como seu principal expoente o famoso investidor e bilionário Warren Buffett, mas com a metodologia adaptada para a realidade brasileira atual, de juros e inflação elevados. Nesta obra você não encontrará fórmulas matemáticas complexas, sendo todo o conteúdo baseado exclusivamente em exemplos práticos ou em análises dos acontecimentos que afetaram os mercados financeiros brasileiro e mundial nas últimas décadas.
Book Synopsis Descomplicando Investimentos by : Gabriel Navarro
Download or read book Descomplicando Investimentos written by Gabriel Navarro and published by . This book was released on 2023-03-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investir é coisa de rico! Você provavelmente tem um amigo ou parente que acredita nisso, certo? Porém, a verdade é que qualquer pessoa pode mudar a sua realidade econômica usando simples conceitos sobre administração financeira. Alguns até pensam que pobreza é falta de dinheiro, e que o segredo para o sucesso está em ganhar sempre mais. Se isso é um fato, então surge a questão: por que motivo existem tantos milionários a beira da falência, perdendo, pouco a pouco, cada patrimônio que conquistaram durante vida inteira? A resposta é que ter muito dinheiro, sem saber como lidar com ele, é um problema tão sério quanto viver em necessidade. Sabendo disso, Gabriel Navarro, uma das maiores vozes sobre finanças na internet, mostra que é possível multiplicar o seu patrimônio de forma simples e acessível, usando o seu dinheiro para trabalhar por você. Este livro é um guia, compilando experiências e dicas destinadas a pessoas de todas as idades que sonham em alcançar sua liberdade financeira para desfrutar de uma vida com tranquilidade, prosperidade e propósito.
Book Synopsis Aprenda a Invertir En La Bolsa de Valores by : Enrique Vasquez
Download or read book Aprenda a Invertir En La Bolsa de Valores written by Enrique Vasquez and published by . This book was released on 2011-04-01 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aprenda a invertir en la bolsa de valores, es un libro que va a enseñar a usted, desde el principio a como invertir; sin que usted tenga ningún conocimiento de como invertir en la bolsa de valores. Este libro lo va a llevar paso a paso hasta usted convertirse en un professional en el analisis técnico. El libro Aprenda a invertir en la bolsa de valores, esta basado en como analizar tecnicamente el movimiento del stock, utilizando los candlesticks, les enseñara el momento de comprar stocks a un precio bajo y vender a un precio mas alto. Tambien como ganar dinero cuando las compañías esten en mala situación. Este libro esta enfocado a explicarles en que forma se mueven las compañías que conforman la economia, por medio de las gráficas. Con este libro también; aprenderan a poner ordenes por medio de un broker para comprar y vender stocks de la compañía que usted lo requiera. Hispanic Investors, LLC es un grupo de inversionistas hispanos, que bienen invirtiendo en la bolsa de valores por años y quisierón compartir sus conocimientos del analisis técnico por medio de este libro, con todas las personas hispanas que quieran superarse. Para cualquier consulta, pregunta o comentario, referente al libro. Hispanic Investors LLC esta para ayudarlos, escribanos a nuestro e-mail ( correo electronico ). [email protected][email protected]
Download or read book Gestao de Investimentos written by and published by Alexandre Canalini. This book was released on with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mourt's Relation written by Anonymous and published by Applewood Books. This book was released on 1986-09 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an account, first published in 1622, of the Pilgrim's journey to the new world.
Book Synopsis KPI Mega Library by : RACHAD. BAROUDI
Download or read book KPI Mega Library written by RACHAD. BAROUDI and published by Createspace Independent Publishing Platform. This book was released on 2016-10-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this guide book is to give the reader a quick and effective access to the most appropriate Key Performance Indicator (KPI). The 36,000 KPIs are categorized in a logical and alphabetical order. Many organizations are spending a lot of funds on building their strategic planning and performance management capabilities. One of the current challenges is the difficulty to know what KPIs are used in similar situations. This book main objective is to acquaint the reader with available KPIs measuring performance of a specific industry, sector, international topic, and functional area. The book is divided into three sections:1) Organization Section: 32 Industries | 385 Functions | 11,000 KPIs2) Government Section: 32 Sectors | 457 Functions | 12,000 KPIs3) International Section: 24 Topics | 39 Sources | 13,000 KPIsREVIEWS: "It's very interesting book. Let me also use this opportunity to congratulate you on it" Augustine Botwe, M&E Consultant - Sweden "Thank you for this book. As an OD and performance consultant, it will be great to have a reference like this to help assist clients and not reinvent the wheel. Congratulations on making this happen with admiration" Sheri Chaney Jones - Ohio, USA"Fabulous book! I bought it for my company. Good work!" Elizabeth Amini, CEO, Strategist - LA, USA"Congratulations for this tremendous work you have done with this book!" Roxana Goldstein, Monitoring Consultant - Argentina "This looks like a very important reference for me in my BSC consulting practice." Edy Chakra, Partner, ADDIMA Consulting - UK"Congratulations for your book, it is very comprehensive!" Rafael Lemaitre - Manager at Palladium Group - Spain"Many thanks for sharing this valuable information. I will use as reference in my work." Edi Indriyotomo - Senior IT Mgr. - Indonesia"I am reading my copy of your great book "KPI Mega Library" which I bought from Amazon. Thank you, great effort!" Basel A - Kuwait"It's a great idea, for folks who don't have a clue where to start. If you're a strategy consultant who shapes strategies for your clients, you need a tailored set of performance metrics" Shelley Somerville, Social Change Strategist - LA, USA"A very comprehensive list of KPIs across a number of functions, industries, etc. As an organizational consultant, I could use this resource as a jumping off point to discuss KPIs with a client based on their particular needs. This book could be a great tool to pick and choose the correct KPIs based on a number of criteria" Anthony Bussard - Dynamic, Innovative HR Effectiveness Consultant - Boston
Book Synopsis The Inner Game of Tennis by : W. Timothy Gallwey
Download or read book The Inner Game of Tennis written by W. Timothy Gallwey and published by Random House Trade Paperbacks. This book was released on 1997-05-27 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The timeless guide to achieving the state of “relaxed concentration” that’s not only the key to peak performance in tennis but the secret to success in life itself—part of the bestselling Inner Game series, with more than one million copies sold! “Groundbreaking . . . the best guide to getting out of your own way . . . Its profound advice applies to many other parts of life.”—Bill Gates, GatesNotes (“Five of My All-Time Favorite Books”) This phenomenally successful guide to mastering the game from the inside out has become a touchstone for hundreds of thousands of people. Billie Jean King has called the book her tennis bible; Al Gore has used it to focus his campaign staff; and Itzhak Perlman has recommended it to young violinists. Based on W. Timothy Gallwey’s profound realization that the key to success doesn’t lie in holding the racket just right, or positioning the feet perfectly, but rather in keeping the mind uncluttered, this transformative book gives you the tools to unlock the potential that you’ve possessed all along. “The Inner Game” is the one played within the mind of the player, against the hurdles of self-doubt, nervousness, and lapses in concentration. Gallwey shows us how to overcome these obstacles by trusting the intuitive wisdom of our bodies and achieving a state of “relaxed concentration.” With chapters devoted to trusting the self and changing habits, it is no surprise then, that Gallwey’s method has had an impact far beyond the confines of the tennis court. Whether you want to play music, write a novel, get ahead at work, or simply unwind after a stressful day, Gallwey shows you how to tap into your utmost potential. No matter your goals, The Inner Game of Tennis gives you the definitive framework for long-term success.
Download or read book Mastering Shiny written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2021-04-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more. Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant. Get started: Discover how the major pieces of a Shiny app fit together Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components Apply best practices: Examine useful techniques for making your Shiny apps work well in production
Book Synopsis Introduction to Data Science by : Rafael A. Irizarry
Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Book Synopsis Modern Data Science with R by : Benjamin S. Baumer
Download or read book Modern Data Science with R written by Benjamin S. Baumer and published by CRC Press. This book was released on 2021-03-31 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
Book Synopsis Computer Networking Essentials by : Charlemagne Mendoza
Download or read book Computer Networking Essentials written by Charlemagne Mendoza and published by Delve Publishing. This book was released on 2016-11-30 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer networking refers to the study and analysis of the communication process among various computing devices or computer systems that are linked or networked, together to exchange information and share resources. Thios book provides an introduction to the essentials of computer networking.
Book Synopsis Reproducible Finance with R by : Jonathan K. Regenstein, Jr.
Download or read book Reproducible Finance with R written by Jonathan K. Regenstein, Jr. and published by CRC Press. This book was released on 2018-09-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.
Book Synopsis The Art of Machine Learning by : Norman Matloff
Download or read book The Art of Machine Learning written by Norman Matloff and published by No Starch Press. This book was released on 2024-01-09 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to expertly apply a range of machine learning methods to real data with this practical guide. Packed with real datasets and practical examples, The Art of Machine Learning will help you develop an intuitive understanding of how and why ML methods work, without the need for advanced math. As you work through the book, you’ll learn how to implement a range of powerful ML techniques, starting with the k-Nearest Neighbors (k-NN) method and random forests, and moving on to gradient boosting, support vector machines (SVMs), neural networks, and more. With the aid of real datasets, you’ll delve into regression models through the use of a bike-sharing dataset, explore decision trees by leveraging New York City taxi data, and dissect parametric methods with baseball player stats. You’ll also find expert tips for avoiding common problems, like handling “dirty” or unbalanced data, and how to troubleshoot pitfalls. You’ll also explore: How to deal with large datasets and techniques for dimension reduction Details on how the Bias-Variance Trade-off plays out in specific ML methods Models based on linear relationships, including ridge and LASSO regression Real-world image and text classification and how to handle time series data Machine learning is an art that requires careful tuning and tweaking. With The Art of Machine Learning as your guide, you’ll master the underlying principles of ML that will empower you to effectively use these models, rather than simply provide a few stock actions with limited practical use. Requirements: A basic understanding of graphs and charts and familiarity with the R programming language
Book Synopsis Feature Engineering and Selection by : Max Kuhn
Download or read book Feature Engineering and Selection written by Max Kuhn and published by CRC Press. This book was released on 2019-07-25 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
Book Synopsis Engineering Production-grade Shiny Apps by : Colin Fay
Download or read book Engineering Production-grade Shiny Apps written by Colin Fay and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Presented in full color, Engineering Production-Grade Shiny Apps helps people build production-grade shiny applications, by providing advice, tools, and a methodology to work on web applications with R. This book starts with an overview of the challenges which arise from any big web application project: organizing work, thinking about the user interface, challenges of teamwork & production environment. Then, it moves to a step by step methodology that goes from the idea to the end application. Each part of this process will cover in detail a series of tools and methods to use while building production-ready shiny applications. Finally, the book will end with a series of approaches and advice about optimizations for production"--
Download or read book Bayes Rules! written by Alicia A. Johnson and published by CRC Press. This book was released on 2022-03-03 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Bayes Rules!: An Introduction to Applied Bayesian Modeling “A thoughtful and entertaining book, and a great way to get started with Bayesian analysis.” Andrew Gelman, Columbia University “The examples are modern, and even many frequentist intro books ignore important topics (like the great p-value debate) that the authors address. The focus on simulation for understanding is excellent.” Amy Herring, Duke University “I sincerely believe that a generation of students will cite this book as inspiration for their use of – and love for – Bayesian statistics. The narrative holds the reader’s attention and flows naturally – almost conversationally. Put simply, this is perhaps the most engaging introductory statistics textbook I have ever read. [It] is a natural choice for an introductory undergraduate course in applied Bayesian statistics." Yue Jiang, Duke University “This is by far the best book I’ve seen on how to (and how to teach students to) do Bayesian modeling and understand the underlying mathematics and computation. The authors build intuition and scaffold ideas expertly, using interesting real case studies, insightful graphics, and clear explanations. The scope of this book is vast – from basic building blocks to hierarchical modeling, but the authors’ thoughtful organization allows the reader to navigate this journey smoothly. And impressively, by the end of the book, one can run sophisticated Bayesian models and actually understand the whys, whats, and hows.” Paul Roback, St. Olaf College “The authors provide a compelling, integrated, accessible, and non-religious introduction to statistical modeling using a Bayesian approach. They outline a principled approach that features computational implementations and model assessment with ethical implications interwoven throughout. Students and instructors will find the conceptual and computational exercises to be fresh and engaging.” Nicholas Horton, Amherst College An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, the book is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience. Bayes Rules! empowers readers to weave Bayesian approaches into their everyday practice. Discussions and applications are data driven. A natural progression from fundamental to multivariable, hierarchical models emphasizes a practical and generalizable model building process. The evaluation of these Bayesian models reflects the fact that a data analysis does not exist in a vacuum. Features • Utilizes data-driven examples and exercises. • Emphasizes the iterative model building and evaluation process. • Surveys an interconnected range of multivariable regression and classification models. • Presents fundamental Markov chain Monte Carlo simulation. • Integrates R code, including RStan modeling tools and the bayesrules package. • Encourages readers to tap into their intuition and learn by doing. • Provides a friendly and inclusive introduction to technical Bayesian concepts. • Supports Bayesian applications with foundational Bayesian theory.
Book Synopsis Data Science Live Book by : Pablo Casas
Download or read book Data Science Live Book written by Pablo Casas and published by . This book was released on 2018-03-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide to problems that commonly arise when developing a machine learning project. The book's topics are: Exploratory data analysis Data Preparation Selecting best variables Assessing Model Performance More information on predictive modeling will be included soon. This book tries to demonstrate what it says with short and well-explained examples. This is valid for both theoretical and practical aspects (through comments in the code). This book, as well as the development of a data project, is not linear. The chapters are related among them. For example, the missing values chapter can lead to the cardinality reduction in categorical variables. Or you can read the data type chapter and then change the way you deal with missing values. You¿ll find references to other websites so you can expand your study, this book is just another step in the learning journey. It's open-source and can be found at http://livebook.datascienceheroes.com
