R Markdown

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Publisher : CRC Press
ISBN 13 : 0429782969
Total Pages : 323 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis R Markdown by : Yihui Xie

Download or read book R Markdown written by Yihui Xie and published by CRC Press. This book was released on 2018-07-27 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

Metabase Up and Running

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Publisher : Packt Publishing Ltd
ISBN 13 : 1800203144
Total Pages : 333 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Metabase Up and Running by : Tim Abraham

Download or read book Metabase Up and Running written by Tim Abraham and published by Packt Publishing Ltd. This book was released on 2020-09-30 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ask questions of your data and gain insights to make better business decisions using the open source business intelligence tool, Metabase Key FeaturesDeploy Metabase applications to let users across your organization interact with itLearn to create data visualizations, charts, reports, and dashboards with the help of a variety of examplesUnderstand how to embed Metabase into your website and send out reports automatically using email and SlackBook Description Metabase is an open source business intelligence tool that helps you use data to answer questions about your business. This book will give you a detailed introduction to using Metabase in your organization to get the most value from your data. You’ll start by installing and setting up Metabase on your local computer. You’ll then progress to handling the administration aspect of Metabase by learning how to configure and deploy Metabase, manage accounts, and execute administrative tasks such as adding users and creating permissions and metadata. Complete with examples and detailed instructions, this book shows you how to create different visualizations, charts, and dashboards to gain insights from your data. As you advance, you’ll learn how to share the results with peers in your organization and cover production-related aspects such as embedding Metabase and auditing performance. Throughout the book, you’ll explore the entire data analytics process—from connecting your data sources, visualizing data, and creating dashboards through to daily reporting. By the end of this book, you’ll be ready to implement Metabase as an integral tool in your organization. What you will learnExplore different types of databases and find out how to connect them to MetabaseDeploy and host Metabase securely using Amazon Web ServicesUse Metabase’s user interface to filter and aggregate data on single and multiple tablesBecome a Metabase admin by learning how to add users and create permissionsAnswer critical questions for your organization by using the Notebook editor and writing SQL queriesUse the search functionality to search through tables, dashboards, and metricsWho this book is for This book is for business analysts, data analysts, data scientists, and other professionals who want to become well-versed with business intelligence and analytics using Metabase. This book will also appeal to anyone who wants to understand their data to extract meaningful insights with the help of practical examples. A basic understanding of data handling and processing is necessary to get started with this book.

IPython Interactive Computing and Visualization Cookbook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 178328482X
Total Pages : 899 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis IPython Interactive Computing and Visualization Cookbook by : Cyrille Rossant

Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

Python for Excel

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492080977
Total Pages : 338 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Python for Excel by : Felix Zumstein

Download or read book Python for Excel written by Felix Zumstein and published by "O'Reilly Media, Inc.". This book was released on 2021-03-04 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot

IPython Notebook Essentials

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Publisher : Packt Publishing Ltd
ISBN 13 : 1783988355
Total Pages : 291 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis IPython Notebook Essentials by : L. Felipe Martins

Download or read book IPython Notebook Essentials written by L. Felipe Martins and published by Packt Publishing Ltd. This book was released on 2014-11-21 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.

Practical Data Analysis Using Jupyter Notebook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1838825096
Total Pages : 309 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Practical Data Analysis Using Jupyter Notebook by : Marc Wintjen

Download or read book Practical Data Analysis Using Jupyter Notebook written by Marc Wintjen and published by Packt Publishing Ltd. This book was released on 2020-06-19 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free text sources to answer questions and add value using dataPerform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing dataBook Description Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data. After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps. Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries. By the end of this book, you'll have gained the practical skills you need to analyze data with confidence. What you will learnUnderstand the importance of data literacy and how to communicate effectively using dataFind out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysisWrangle data and create DataFrames using pandasProduce charts and data visualizations using time-series datasetsDiscover relationships and how to join data together using SQLUse NLP techniques to work with unstructured data to create sentiment analysis modelsDiscover patterns in real-world datasets that provide accurate insightsWho this book is for This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data analysis concepts using SQL, Python, and Jupyter Notebook. Anyone looking to evolve their skills to become data-driven personally and professionally will also find this book useful. No prior knowledge of data analysis or programming is required to get started with this book.

Your First Notebook PC

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Author :
Publisher : Pearson Education
ISBN 13 : 0132714868
Total Pages : 552 pages
Book Rating : 4.1/5 (327 download)

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Book Synopsis Your First Notebook PC by : Michael R. Miller

Download or read book Your First Notebook PC written by Michael R. Miller and published by Pearson Education. This book was released on 2007-10-01 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a notebook PC is different from using a desktop PC. Not only are the keyboard and screen smaller, you have to deal with battery life, notebook security, connecting to the Internet at Wi-Fi hot spots, and figuring out how to enter numbers without a numeric keypad. How do you do what you need to do on your new notebook PC? Your First Notebook PC is the solution to your problems. This book focuses on how to shop for, set up, and use a new notebook PC. You’ll learn all about different types of notebooks, unique notebook features, and useful notebook accessories. You’ll also discover how to get the most out of your notebook at home, at the office, and on the road–and how to troubleshoot any problems you might encounter! Your First Notebook PC shows you how to: • Choose the right type of notebook for your needs • Set up and configure a new notebook • Use Windows Vista and its notebook-specific features • Connect your notebook to a wireless home network and the Internet • Share files and folders with other users–and sync your files between two PCs • Use your notebook to listen to music and play DVD movies • Connect your notebook to an office network–and use it for essential business operations • Use your notebook to give PowerPoint presentations • Connect your notebook to a public Wi-Fi hot spot–and send and receive email from any location • Keep your notebook secure when traveling • Extend the life of your notebook’s battery • Upgrade your notebook’s hardware • Troubleshoot common problems

Think Stats

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449313108
Total Pages : 137 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Think Stats by : Allen B. Downey

Download or read book Think Stats written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2011-07-01 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. 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. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Becoming a Writing Researcher

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Author :
Publisher : Routledge
ISBN 13 : 1351121200
Total Pages : 293 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Becoming a Writing Researcher by : Ann Blakeslee

Download or read book Becoming a Writing Researcher written by Ann Blakeslee and published by Routledge. This book was released on 2019-07-08 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Becoming a Writing Researcher effectively guides students through the stages of conducting qualitative writing research, from the initial step of seeing themselves as researchers, to identifying research questions, selecting appropriate methodological tools, conducting the research, and interpreting and reporting findings. Exercises and activities, as well as anecdotes and examples from both novice and seasoned researchers, serve to acquaint readers thoroughly with the practice of carrying out research for scholarly or professional purposes. This second edition introduces students to research methods in a gradual and contextualized manner. Each chapter offers a discussion of a particular portion of the research process, followed by consideration of physical, conceptual, and strategic tools that allow a master’s level researcher to conduct that part of the research. Sections within each chapter also cover issues of stance and positionality that impact the researcher and the resulting research. Becoming a Writing Researcher, second edition, is an essential text for all novice researchers and is particularly well suited for use in graduate-level research methods courses in writing studies and technical communications. It is also ideal for use in other disciplines with strong qualitative methodology research programs, including education.

Machine Learning for Business

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Publisher : Simon and Schuster
ISBN 13 : 1638353972
Total Pages : 410 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Machine Learning for Business by : Doug Hudgeon

Download or read book Machine Learning for Business written by Doug Hudgeon and published by Simon and Schuster. This book was released on 2019-12-24 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it). Consider the competitive advantage of making decisions when you know the most likely future events Machine learning can deliver these and other advantages to your business, and it’s never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you’ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside Identifying tasks suited to machine learning Automating back office processes Using open source and cloud-based tools Relevant case studies About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ¦ How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ¦ Should you send a purchase order to a technical approver? 3 ¦ Should you call a customer because they are at risk of churning? 4 ¦ Should an incident be escalated to your support team? 5 ¦ Should you question an invoice sent by a supplier? 6 ¦ Forecasting your company’s monthly power usage 7 ¦ Improving your company’s monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ¦ Serving predictions over the web 9 ¦ Case studies

Bad Run Motivational Quote Journal - Blank Lined Running Notebook

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Author :
Publisher :
ISBN 13 : 9781070127873
Total Pages : 108 pages
Book Rating : 4.1/5 (278 download)

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Book Synopsis Bad Run Motivational Quote Journal - Blank Lined Running Notebook by : Kids Read Kids Read More

Download or read book Bad Run Motivational Quote Journal - Blank Lined Running Notebook written by Kids Read Kids Read More and published by . This book was released on 2019-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Journals Always Bring a Smile! Softcover small, professionally designed lightweight notebook. The Only Bad Mile is the One You Didn't Run motivational, inspirational quote for a bad run day or race time. Unique! Inspirational! Use as a writer's journal, office exchange party gift, or for the desk of any academic University or High School student. Dimensions: Small travel size 8x5 inches (20.32x12.7 cm). Interior: 108 pages / 54 sheets. - Contains 100 lined pages + 8 plain blank end doodle note pages for drawings or tear away. A total of 108 thick white paper pages. - Regulation college ruled lines (medium width) Binding: Durable trade paperback binding (perfect bound), works well for taking notes, journaling, one subject school assignment, or a Do-It-Yourself (DIY) diary planner. Bound similar to books found in your local library. Cover: Full color soft cover paperback has a tough construction with glossy print. Artwork: Cover art chosen from the best images and photos from original works of a professional graphic artist. Gift Basket Stuffers: Part of our Kids Read More gift accessories collection. (Please use Amazon search box to find related clothing, office, mugs, water bottles and other home products with this design.) Record your travel memories, training thought quotes, lesson reminders, or success stories. Perfect gift for coach, trainer, athlete or long distance marathon runner going for a record finish time, 2019 PR goal. Great for birthday, fastest team runner or end of race gift. Add your own personal note on the inside cover to make this a custom personalized gift.

Python Data Science Handbook

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912138
Total Pages : 743 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python Data Science Handbook by : Jake VanderPlas

Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Generative AI with Python and TensorFlow 2

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1800208502
Total Pages : 489 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Generative AI with Python and TensorFlow 2 by : Joseph Babcock

Download or read book Generative AI with Python and TensorFlow 2 written by Joseph Babcock and published by Packt Publishing Ltd. This book was released on 2021-04-30 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fun and exciting projects to learn what artificial minds can create Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook Description Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI? In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks. There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment. Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation. What you will learnExport the code from GitHub into Google Colab to see how everything works for yourselfCompose music using LSTM models, simple GANs, and MuseGANCreate deepfakes using facial landmarks, autoencoders, and pix2pix GANLearn how attention and transformers have changed NLPBuild several text generation pipelines based on LSTMs, BERT, and GPT-2Implement paired and unpaired style transfer with networks like StyleGANDiscover emerging applications of generative AI like folding proteins and creating videos from imagesWho this book is for This is a book for Python programmers who are keen to create and have some fun using generative models. To make the most out of this book, you should have a basic familiarity with math and statistics for machine learning.

Run

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Publisher :
ISBN 13 : 9781077685352
Total Pages : 112 pages
Book Rating : 4.6/5 (853 download)

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Book Synopsis Run by : Awesome Press

Download or read book Run written by Awesome Press and published by . This book was released on 2019-07-02 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Running & Run Notebook This Notebook is perfect multi-purpose has a lot of space so is ideal for fill pages by writing notes or jotting down thoughts. If you would like to see a sample of the notebook, click on the Look inside feature. The Awesome Press is series which offer much more Best & High Quality Notebooks - just check out other our products. Specifications: Dimensions: 6" x 9" (15.24 x 22.86 cm) Pages: 110 Lined Pages Cover: Softback, Glossy Binding: Perfect Binding High-Quality Paper Make sure to check out the others colors/style our Notebooks by clicking on author's page.Get yours today!

Bound

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Author :
Publisher : Union Square + ORM
ISBN 13 : 1454710837
Total Pages : 431 pages
Book Rating : 4.4/5 (547 download)

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Book Synopsis Bound by : Erica Ekrem

Download or read book Bound written by Erica Ekrem and published by Union Square + ORM. This book was released on 2018-04-13 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how beautiful and functional a handbound book can be with this “fresh look at an old art” featuring 20 creative and approachable projects (Library Journal, starred review). In Bound, graphic designer and professional bookbinder Erika Ekrem explains everything you need to know to create your own beautifully handcrafted books. With her whimsical and stylish approach to traditional techniques, and the use of upcycled and repurposed materials, Ekrem has devised creative fun for book artists of all levels. Dividing projects into three categories—Vintage, Nature, and Leather—she takes you step-by-step through the process of making books from mason jars and seashells; a classic leather-bound photo album; and other works of art.

Proceedings of Third International Conference on Sustainable Expert Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 9811978743
Total Pages : 1025 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of Third International Conference on Sustainable Expert Systems by : Subarna Shakya

Download or read book Proceedings of Third International Conference on Sustainable Expert Systems written by Subarna Shakya and published by Springer Nature. This book was released on 2023-02-22 with total page 1025 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 3rd International Conference on Sustainable Expert Systems (ICSES 2022), held in Nepal during September 9–10, 2022. The book focuses on the research information related to artificial intelligence, sustainability and expert systems applied in almost all the areas of industries, government sectors and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems.

Think DSP

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 149193851X
Total Pages : 168 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Think DSP by : Allen B. Downey

Download or read book Think DSP written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2016-07-12 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmonic structure of simple waveforms Chirps and other sounds whose spectrum changes over time Noise signals and natural sources of noise The autocorrelation function for estimating pitch The discrete cosine transform (DCT) for compression The Fast Fourier Transform for spectral analysis Relating operations in time to filters in the frequency domain Linear time-invariant (LTI) system theory Amplitude modulation (AM) used in radio Other books in this series include Think Stats and Think Bayes, also by Allen Downey.