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Data Analysis For Self Publishers
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Book Synopsis Data Analysis for Self-Publishers by : M.L. Humphrey
Download or read book Data Analysis for Self-Publishers written by M.L. Humphrey and published by M.L. Humphrey. This book was released on 2020-05-22 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to make money from your writing then you need to treat it like a business. And part of treating it like a business is looking at data about how that business is performing and using it to inform your business choices. In Data Analysis for Self-Publishers M.L. Humphrey walks you through how to do that, starting with what information you need and then moving on to ways to use that information and interpret it to improve your results. If you're ready to take your writing income up a notch, then this is the book for you.
Book Synopsis Data Analysis for Self-Publishers by : M. L. Humphrey
Download or read book Data Analysis for Self-Publishers written by M. L. Humphrey and published by . This book was released on 2020-05-22 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to make money from your writing then you need to treat it like a business. And part of treating it like a business is looking at data about how that business is performing and using it to inform your business choices. In Data Analysis for Self-Publishers M.L. Humphrey walks you through how to do that, starting with what information you need and then moving on to ways to use that information and interpret it to improve your results. If you're ready to take your writing income up a notch, then this is the book for you.
Book Synopsis Statistical Analysis and Data Display by : Richard M. Heiberger
Download or read book Statistical Analysis and Data Display written by Richard M. Heiberger and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.
Book Synopsis Data Science in Production by : Ben Weber
Download or read book Data Science in Production written by Ben Weber and published by . This book was released on 2020 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Putting predictive models into production is one of the most direct ways that data scientists can add value to an organization. By learning how to build and deploy scalable model pipelines, data scientists can own more of the model production process and more rapidly deliver data products. This book provides a hands-on approach to scaling up Python code to work in distributed environments in order to build robust pipelines. Readers will learn how to set up machine learning models as web endpoints, serverless functions, and streaming pipelines using multiple cloud environments. It is intended for analytics practitioners with hands-on experience with Python libraries such as Pandas and scikit-learn, and will focus on scaling up prototype models to production. From startups to trillion dollar companies, data science is playing an important role in helping organizations maximize the value of their data. This book helps data scientists to level up their careers by taking ownership of data products with applied examples that demonstrate how to: Translate models developed on a laptop to scalable deployments in the cloud Develop end-to-end systems that automate data science workflows Own a data product from conception to production The accompanying Jupyter notebooks provide examples of scalable pipelines across multiple cloud environments, tools, and libraries (github.com/bgweber/DS_Production). Book Contents Here are the topics covered by Data Science in Production: Chapter 1: Introduction - This chapter will motivate the use of Python and discuss the discipline of applied data science, present the data sets, models, and cloud environments used throughout the book, and provide an overview of automated feature engineering. Chapter 2: Models as Web Endpoints - This chapter shows how to use web endpoints for consuming data and hosting machine learning models as endpoints using the Flask and Gunicorn libraries. We'll start with scikit-learn models and also set up a deep learning endpoint with Keras. Chapter 3: Models as Serverless Functions - This chapter will build upon the previous chapter and show how to set up model endpoints as serverless functions using AWS Lambda and GCP Cloud Functions. Chapter 4: Containers for Reproducible Models - This chapter will show how to use containers for deploying models with Docker. We'll also explore scaling up with ECS and Kubernetes, and building web applications with Plotly Dash. Chapter 5: Workflow Tools for Model Pipelines - This chapter focuses on scheduling automated workflows using Apache Airflow. We'll set up a model that pulls data from BigQuery, applies a model, and saves the results. Chapter 6: PySpark for Batch Modeling - This chapter will introduce readers to PySpark using the community edition of Databricks. We'll build a batch model pipeline that pulls data from a data lake, generates features, applies a model, and stores the results to a No SQL database. Chapter 7: Cloud Dataflow for Batch Modeling - This chapter will introduce the core components of Cloud Dataflow and implement a batch model pipeline for reading data from BigQuery, applying an ML model, and saving the results to Cloud Datastore. Chapter 8: Streaming Model Workflows - This chapter will introduce readers to Kafka and PubSub for streaming messages in a cloud environment. After working through this material, readers will learn how to use these message brokers to create streaming model pipelines with PySpark and Dataflow that provide near real-time predictions. Excerpts of these chapters are available on Medium (@bgweber), and a book sample is available on Leanpub.
Book Synopsis Applied Missing Data Analysis by : Craig K. Enders
Download or read book Applied Missing Data Analysis written by Craig K. Enders and published by Guilford Press. This book was released on 2010-04-23 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists. This book will appeal to researchers and graduate students in psychology, education, management, family studies, public health, sociology, and political science. It will also serve as a supplemental text for doctoral-level courses or seminars in advanced quantitative methods, survey analysis, longitudinal data analysis, and multilevel modeling, and as a primary text for doctoral-level courses or seminars in missing data.
Book Synopsis Data Analysis for the Life Sciences with R by : Rafael A. Irizarry
Download or read book Data Analysis for the Life Sciences with R written by Rafael A. Irizarry and published by CRC Press. This book was released on 2016-10-04 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
Book Synopsis My Publishing Imprint by : David Wogahn
Download or read book My Publishing Imprint written by David Wogahn and published by PartnerPress. This book was released on 2019-08-16 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: **2020 Gold Medal Winner—Readers' Favorite Book Awards** Are you planning to self-publish? Do you want to be a publisher? Don't settle for Amazon's free ISBN until you read this book. My Publishing Imprint answers these important questions: - Do you have to create a publishing imprint to publish a book? - Do you need to establish an entity or register a business name if you want to be recognized as the publisher of a book? - What are the legal and business considerations? - Where does your publishing imprint name appear in public and industry records? - How do you research names? - What do other indie publishers do? - What are the risks of using a free Amazon ISBN? My Publishing Imprint is your guide to understanding the facts, your options, and the key decisions you need to make before you publish a book. Once made, they cannot be reversed unless you republish your book. “This book has substance on every page that you turn. It’s filled with links to resources, guidelines, do’s, and don’ts. He also includes specific people and the way that they have evolved in their own book imprint endeavors, which is helpful when you are learning all that you can about creating a book imprint and the business behind it.” —Erin Nicole Cochran for Readers’ Favorite, Five Stars
Book Synopsis R for Data Science by : Hadley Wickham
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. 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, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Book Synopsis Python for Data Analysis by : Wes McKinney
Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Book Synopsis Following the Trend by : Andreas F. Clenow
Download or read book Following the Trend written by Andreas F. Clenow and published by John Wiley & Sons. This book was released on 2012-11-21 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: During bull and bear markets, there is a group of hedge funds and professional traders which have been consistently outperforming traditional investment strategies for the past 30 odd years. They have shown remarkable uncorrelated performance and in the great bear market of 2008 they had record gains. These traders are highly secretive about their proprietary trading algorithms and often employ top PhDs in their research teams. Yet, it is possible to replicate their trading performance with relatively simplistic models. These traders are trend following cross asset futures managers, also known as CTAs. Many books are written about them but none explain their strategies in such detail as to enable the reader to emulate their success and create their own trend following trading business, until now. Following the Trend explains why most hopefuls fail by focusing on the wrong things, such as buy and sell rules, and teaches the truly important parts of trend following. Trading everything from the Nasdaq index and T-bills to currency crosses, platinum and live hogs, there are large gains to be made regardless of the state of the economy or stock markets. By analysing year by year trend following performance and attribution the reader will be able to build a deep understanding of what it is like to trade futures in large scale and where the real problems and opportunities lay. Written by experienced hedge fund manager Andreas Clenow, this book provides a comprehensive insight into the strategies behind the booming trend following futures industry from the perspective of a market participant. The strategies behind the success of this industry are explained in great detail, including complete trading rules and instructions for how to replicate the performance of successful hedge funds. You are in for a potentially highly profitable roller coaster ride with this hard and honest look at the positive as well as the negative sides of trend following.
Book Synopsis Libraries Partnering with Self-Publishing by : Robert J. Grover Professor Emeritus
Download or read book Libraries Partnering with Self-Publishing written by Robert J. Grover Professor Emeritus and published by Bloomsbury Publishing USA. This book was released on 2016-10-17 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Help your library leverage opportunities in the popular do-it-yourself publishing movement by following this guide's process for creating and producing books. In this useful guidebook, you'll learn how to transform your library into a self-publishing center with pointers, advice, and strategies for creating, producing, and printing books—both digitally and on paper. The book outlines your partnering role with patrons in the creation of published materials, offering step-by-step guidance for assisting library users who wish to put their written words in print. By using the detailed plan in this reference, you'll be able to help patrons identify an audience for their material, select the best publishing software for their needs, and utilize social media to promote and distribute their work. Chapters follow the publishing process from planning to creative development, production, and marketing. The final chapter features books, websites, and Internet sources for designing brochures; creating a website; and designing, printing, and distributing a book. Helpful guidelines accompany excerpts from interviews with librarians experienced with this publishing model, examples of self-published books, and graphic models.
Book Synopsis HowExpert Guide to Self Publishing by : HowExpert
Download or read book HowExpert Guide to Self Publishing written by HowExpert and published by HowExpert. This book was released on with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: HowExpert Guide to Self Publishing is a comprehensive resource designed to guide aspiring authors and publishers through the intricate process of publishing their own work. From initial manuscript preparation to post-publication marketing, this guide provides essential strategies, detailed steps, and practical advice to empower authors in the rapidly evolving world of self-publishing. Introduction - An in-depth exploration of how advancements in digital technology have revolutionized publishing, making it accessible for all authors. Part I: Preparing for Self Publishing - Chapter 1: Understanding Self Publishing: Explores the history, growth, and current landscape of self-publishing. - Chapter 2: Defining Your Publishing Goals: Offers methods to identify and set realistic and strategic publishing goals. - Chapter 3: Crafting Your Manuscript: Details the process of developing and refining your manuscript. - Chapter 4: Designing Your Book: Focuses on the critical aspects of visual presentation, including cover and interior design. Part II: Publishing Process - Chapter 5: Choosing Your Publishing Path: Analyzes the pros and cons of different publishing paths. - Chapter 6: Legal and Copyright Considerations: Essential legal advice for protecting your work. - Chapter 7: Production and Distribution: Discusses options for printing, eBook creation, and getting your book to market. - Chapter 8: Pricing, Royalties, and Financial Management: Discusses pricing, royalties, budgeting, and tracking sales and revenue. Part III: Marketing and Promotion - Chapter 9: Building Your Author Platform: Strategies for creating an online presence and engaging with your audience. - Chapter 10: Developing a Marketing Strategy: Techniques for promoting your book effectively. - Chapter 11: Engaging with Your Audience: Best practices for building lasting relationships with readers. Part IV: Managing Your Publishing Business - Chapter 12: Time Management and Work Flow: Addresses time management through scheduling, task balancing, and delegation. - Chapter 13: Long-Term Planning and Growth: Advice on maintaining and expanding your self-publishing business. Part V: The Future of Self-Publishing and AI - Chapter 14: Embracing Technological Advancements: How emerging technologies are shaping the future of publishing. Conclusion - The conclusion reflects on your self-publishing journey, celebrating achievements and considering lessons for the future. Appendices: - Appendix A: Resource Directory for Self-Publishers: A curated list of tools, platforms, and services essential for self-publishing. - Appendix B: Glossary of Publishing Terms: Definitions of key terms in the publishing industry. - Appendix C: About Publishing Contracts and Templates: Essential contracts and templates to guide your publishing agreements. - Appendix D: Self Publishing Checklist: A comprehensive checklist covering every stage of the self-publishing process. Epilogue: Your Self Publishing Odyssey - The epilogue concludes with a reflective overview of the self-publishing journey, emphasizing the importance of persistence, learning, and adapting to changes in the publishing landscape. HowExpert Guide to Self Publishing stands out as an invaluable guide that covers all facets of the self-publishing process. It is meticulously crafted to equip authors with the necessary tools to successfully manage their publishing projects from start to finish. This book is ideal for anyone looking to take control of their publishing journey, offering expert advice and detailed guidance to ensure their success in the competitive world of independent publishing. HowExpert publishes how to guides on all topics from A to Z.
Book Synopsis Self-Publishing and Collection Development by : Robert P. Holley
Download or read book Self-Publishing and Collection Development written by Robert P. Holley and published by Purdue University Press. This book was released on 2015-09-15 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current publishing environment has experienced a drastic change in the way content is created, delivered, and acquired, particularly for libraries. With the increasing importance of digital publishing, more than half the titles published in the United States are self-published. With this growth in self-published materials, librarians, publishers, and vendors have been forced to rethink channels of production, distribution, and access as it applies to the new content. Self-Publishing and Collection Development: Opportunities and Challenges for Libraries will address multiple aspects of how public and academic libraries can deal with the increase in self-published titles. While both academic and public libraries have started to grapple with the burgeoning issues associated with self-published books, many difficulties remain. To develop effective policies and procedures, stakeholders must now tackle questions associated with the transformation of the publishing landscape. Obstacles to self-publishing include the lack of reviews, the absence of cataloging and bibliographic control, proprietary formats for e-books, and the difficulty for vendors in providing these works.General chapters will include information on reviewing sources, cataloging and bibliographic control, and vendor issues. Information addressing public libraries issues will highlight initiatives to make self-published materials available at the Los Gatos Public Library in California and the Kent District Library in Michigan. Chapters on academic library issues will address why self-published materials are important for academic institutions, especially those with comprehensive collecting interests. Several self-published authors focus on how they attempt to make their works more suitable for public libraries. Finally, the book concludes with a bibliographic essay on self-publishingAs the term "traditional publishing" begins to fade and new content producers join the conversation, librarians, publishers, and vendors will play an important role in facilitating and managing the shift.
Book Synopsis Self-Publishing Mastery: The Cost-Free Step to Reaching Global Bookstores by : Chetan Singh
Download or read book Self-Publishing Mastery: The Cost-Free Step to Reaching Global Bookstores written by Chetan Singh and published by Chetan Singh. This book was released on 2024-07-13 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start your book self publishing journey with "Self-Publishing Mastery: The Cost-Free Step to Reaching Global Bookstores." This essential Free publishing guide provides everything you need to publish your book for free and distribute it worldwide. Learn how to publish your book without spending a dime and make it available in over a thousand bookstores worldwide. Whether you're a first-time Indie authors or an experienced writer looking to expand your reach, this self publishing book provides the tools and knowledge you need to navigate the self-publishing landscape confidently. This essential self publish book guide covers everything from account setup to royalties pricing and marketing strategies. Perfect for new and seasoned authors looking to publish their books for free and reach a global audience. Learn how to navigate the self-publishing world and maximize your earnings without any upfront costs.
Book Synopsis Applied Compositional Data Analysis by : Peter Filzmoser
Download or read book Applied Compositional Data Analysis written by Peter Filzmoser and published by Springer. This book was released on 2018-11-03 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions and compositional tables. The methodology introduced is also frequently compared to methods which ignore the specific nature of compositional data. It focuses on practical aspects of compositional data analysis rather than on detailed theoretical derivations, thus issues like graphical visualization and preprocessing (treatment of missing values, zeros, outliers and similar artifacts) form an important part of the book. Since it is primarily intended for researchers and students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed methods are accompanied by worked-out examples in R using the package robCompositions.
Book Synopsis Optimization for Data Analysis by : Stephen J. Wright
Download or read book Optimization for Data Analysis written by Stephen J. Wright and published by Cambridge University Press. This book was released on 2022-04-21 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.
Download or read book Data Analytics written by James Fahl and published by Createspace Independent Publishing Platform. This book was released on 2017-05-25 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand Data Analytics and Implement it in Your Business Today Do you want improve your revenue and stop missing out on profit? Do you want to learn about how data analytics in a style and approach that is suitable for you, regardless of your current knowledge? This book not only provides step-by-step guide to data analytics, but teaches you actionable steps to improve your analysis in all environments! Are you ready to learn? If so, Data Analytics: The Ultimate Step-by-Step guide to master emotional intelligence, interpersonal skills, relationships, self-awareness, habits and increase your workplace success.by James Fahl is THE book for you! It covers the most essential topics you must learn to become a master of Data Analytics. What Separates This Book From The Rest? What separates this book from the rest? The unique way you will learn with examples and steps. Many books leave you more confused than before you picked them up, not this book, it's clear concise and implementable. We make it our goal to write this book in plain easy to understand English that anyone can understand. Gone are the days of highly technical language. This allows you to quickly learn topics, and use your new skills immediately. To aid you in learning the topics quickly and effectively this book has been designed to be the ultimate step-by-step guide. Making sure that you're confident and clear with each topic before moving on! You Will Learn The Following: What is Data Analytics? Why use Data Analytics The importance of Data Analytics Types of Data Analytics Explanations of Different models Collecting Data Mistakes to avoid Whether you just want to learn more about Data Analysis or already know but want a step-by-step guide to implement it in your life, this is the book for you! So don't delay it any longer. Take this opportunity and invest in your self by buying this guide now. You will be shocked by how fast you learn about Data Analytics! Don't Delay And Scroll Up To Buy With 1 Click
