Found insideThis book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. Found inside – Page viiiIt’s also why every manager and technology professional should become knowledgeable about big data and how it is transforming not just their own industries but the global economy. And that knowledge is just what this book delivers. Found insideThis is a book that will help you get your way in business and life. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Shows how to write, debug, and run a Perl program, describes CGI scripting and data manipulation, and describes scalar values, basic operators, and associative arrays. Found inside – Page 1Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. This edition features the up-to-date information business managers and data analysts need. The book begins with the basics of SQL for data mining, Excel to present results, and simple ideas from statistics to understand your data. Derivatives Markets presents a comprehensive and in-depth treatment of futures, options, and other derivatives in a mathematically accessible and intuitive manner. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive ... Found insideThis is the age of data. Found inside – Page 1About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Found insideThis book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. A 10-step vocabulary program teaches 500 key words and 3,000 synonyms. Lively, accessible writing from an expert author and radio personality. From the Trade Paperback edition. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data ... Instead of a feature-by-feature documentation, this book takes an "essentials" approach that gives you exactly what you need to become productive with SQLAlchemy right away. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Found insideAfter introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. Found insideLeading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Found insideOver 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data ... Presents an introduction to the new programming language for the Java Platform. This book provides readers with proven methods and tools for designing efficient, reliable, and secure databases. Author Rod Stephens explains how a database should be organized to ensure data integrity without sacrificing performance. Emphasis placed on the practical uses of forecasting.· All data sets used in this text will be available on the Internet.· Coverage now includes the latest techniques used by managers in business today. Found insideThe second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would take hours to do by hand. The book also teaches run-time testing using the assertive package; enabling your users to correctly run your code. Found inside – Page iThe book is also an excellent reference for practitioners and researchers who need to model and analyze time series data to generate forecasts. Found insideThis book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta ... This expert book offers the perfect solution. Found insideThe 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. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Found insideThis book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions ... Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). This book is a complete introduction to the power of R for marketing research practitioners. Found insideprogress, such as DataCamp's (www.rdocumentation.org), but for now most problems are covered by reading the manual (the ? documentation) and/or searching ... This book provides you with the resources to successfully develop your own GIS application in Python. Get access to 101 Ready To Use Excel Macros that you can use straight away to your Excel workbooks & reports so you can SAVE HOURS each day With this book you get the following cool features: ✔ Access 101 Ready To Use Macros with VBA Code ... Found insideThis is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This book shows you how to extend the power of Stata through the use of R. It introduces R using Stata terminology with which you are already familiar. This book's source code can be found at http://www.mango-solutions.com/wp/teach-yourself-r-in-24-hours-book. Found insideA popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also ... "This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"-- With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. Found insideThe book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test ... What you will learn Use basic programming concepts of R such as loading packages, arithmetic functions, data structures, and flow control Import data to R from various formats such as CSV, Excel, and SQL Clean data by handling missing ... Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. Found inside – Page 1This 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. 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