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Author: Ian Lamont
Publisher: i30 Media Corporation
ISBN: 1939924626
Category : Computers
Languages : en
Pages : 81
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Book Description
Updated in 2018! The top-selling guide to Google’s free online office suite is now available in a revised and expanded second edition. Thirty minutes is all you'll need to get up to speed with Google Drive, Google Docs, Google Sheets, and Google Slides, the free online productivity suite and alternative to Microsoft Office. Millions of people use the software every day. You can use Drive, Docs, Sheets, and Slides to perform the following tasks: • Write letters and reports • Crunch numbers and create online data entry forms • Give presentations • Collaborate online with classmates and colleagues • Convert Microsoft Office documents to Google formats, and vice versa • Print documents, drawings, and spreadsheets • Export PDFs • Make pie charts, bar charts, and simple tables • Publish documents and spreadsheets online using the new Google Sites After covering registration, file creation and other basics, Google Drive and Docs In 30 Minutes (2nd Edition) zeroes in on the most important time-saving tips and productivity tools. Highlights include: • Converting files between Microsoft Office and Google formats. • Best practices for organizing files in Google Drive. • What to expect with collaboration and sharing. • The pros and cons of Google’s mobile apps for Drive, Docs, Sheets, and Slides. • Accessing older versions of files. • How to publish your documents to the Web for colleagues or members of the public to view. • Functions, sorting and filtering in Google Sheets (with examples). • Using Google Forms to gather data. • Google Slides: Is it a suitable alternative to Microsoft PowerPoint? • Working with offline files. • Downloading third-party apps. The tone of Google Drive and Docs In 30 Minutes is friendly and easy to understand, with lots of step-by-step instructions, screenshots, and examples. The guide can be used by anyone with a PC, Mac, or Chromebook. It also includes instructions for using Drive, Docs, Sheets, and Slides on Android and iOS phones and tablets. Google Drive and Docs In 30 Minutes, 2nd Edition is authored by Ian Lamont, an award-winning technology and business journalist. He has written several books in the "In 30 Minutes" series, including Dropbox In 30 Minutes, Twitter In 30 Minutes, and Excel Basics In 30 Minutes. Here's what readers are saying about Google Drive & Docs In 30 Minutes: “I am so glad this was made! I've been using Google Docs for a while now and have been encouraging my teacher colleagues to do so as well to facilitate collaboration. It has become my go-to text book to help new users understand quickly. If you're new to Google Drive or Google Documents, this will help you. If you're experienced, and want something to help those who come to you with questions, this is a nice tool to help them remember what you show them. I highly recommend it.” “I just got a new position that requires record keeping. Having used Google Docs in the past, I decided to update my knowledge. I googled "Docs for dummies" and this was one of the results. I liked the concept that the title implies - a concise guide that will distill what I need and allow me to complete a task quickly” “A clear and concise explanation of how to navigate your way through google docs.” “Excellent introduction to Google drive. Well researched, easy to read, nicely organized.”
Author: Ian Lamont
Publisher: i30 Media Corporation
ISBN: 1939924626
Category : Computers
Languages : en
Pages : 81
Get Book Here
Book Description
Updated in 2018! The top-selling guide to Google’s free online office suite is now available in a revised and expanded second edition. Thirty minutes is all you'll need to get up to speed with Google Drive, Google Docs, Google Sheets, and Google Slides, the free online productivity suite and alternative to Microsoft Office. Millions of people use the software every day. You can use Drive, Docs, Sheets, and Slides to perform the following tasks: • Write letters and reports • Crunch numbers and create online data entry forms • Give presentations • Collaborate online with classmates and colleagues • Convert Microsoft Office documents to Google formats, and vice versa • Print documents, drawings, and spreadsheets • Export PDFs • Make pie charts, bar charts, and simple tables • Publish documents and spreadsheets online using the new Google Sites After covering registration, file creation and other basics, Google Drive and Docs In 30 Minutes (2nd Edition) zeroes in on the most important time-saving tips and productivity tools. Highlights include: • Converting files between Microsoft Office and Google formats. • Best practices for organizing files in Google Drive. • What to expect with collaboration and sharing. • The pros and cons of Google’s mobile apps for Drive, Docs, Sheets, and Slides. • Accessing older versions of files. • How to publish your documents to the Web for colleagues or members of the public to view. • Functions, sorting and filtering in Google Sheets (with examples). • Using Google Forms to gather data. • Google Slides: Is it a suitable alternative to Microsoft PowerPoint? • Working with offline files. • Downloading third-party apps. The tone of Google Drive and Docs In 30 Minutes is friendly and easy to understand, with lots of step-by-step instructions, screenshots, and examples. The guide can be used by anyone with a PC, Mac, or Chromebook. It also includes instructions for using Drive, Docs, Sheets, and Slides on Android and iOS phones and tablets. Google Drive and Docs In 30 Minutes, 2nd Edition is authored by Ian Lamont, an award-winning technology and business journalist. He has written several books in the "In 30 Minutes" series, including Dropbox In 30 Minutes, Twitter In 30 Minutes, and Excel Basics In 30 Minutes. Here's what readers are saying about Google Drive & Docs In 30 Minutes: “I am so glad this was made! I've been using Google Docs for a while now and have been encouraging my teacher colleagues to do so as well to facilitate collaboration. It has become my go-to text book to help new users understand quickly. If you're new to Google Drive or Google Documents, this will help you. If you're experienced, and want something to help those who come to you with questions, this is a nice tool to help them remember what you show them. I highly recommend it.” “I just got a new position that requires record keeping. Having used Google Docs in the past, I decided to update my knowledge. I googled "Docs for dummies" and this was one of the results. I liked the concept that the title implies - a concise guide that will distill what I need and allow me to complete a task quickly” “A clear and concise explanation of how to navigate your way through google docs.” “Excellent introduction to Google drive. Well researched, easy to read, nicely organized.”
Author: Mike Procopio
Publisher: Packt Publishing Ltd
ISBN: 1782160493
Category : Computers
Languages : en
Pages : 147
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Book Description
This book is a Starter which teaches you how to use Google Drive practically. This book is perfect for people of all skill levels who want to enjoy the benefits of using Google Drive to safely store their files online and in the cloud. It's also great for anyone looking to learn more about cloud computing in general. Readers are expected to have an Internet connection and basic knowledge of using the internet.
Author: Alex Nordeen
Publisher: Guru99
ISBN:
Category : Computers
Languages : en
Pages : 365
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Book Description
R is a programming language developed is widely used for statistical and graphical analysis. It can execute advance machine learning algorithms including earning algorithm, linear regression, time series, statistical inference. R programming language is used by Fortune 500 companies and tech bellwethers like Uber, Google, Airbnb, Facebook, Apple. R provides a data scientist tools and libraries (Dplyr) to perform the 3 steps of analysis 1) Extract 2) Transform, Cleanse 3) Analyze. Table of Contents Chapter 1: What is R Programming Language? Introduction & Basics Chapter 2: How to Download & Install R, RStudio, Anaconda on Mac or Windows Chapter 3: R Data Types, Arithmetic & Logical Operators with Example Chapter 4: R Matrix Tutorial: Create, Print, add Column, Slice Chapter 5: Factor in R: Categorical & Continuous Variables Chapter 6: R Data Frame: Create, Append, Select, Subset Chapter 7: List in R: Create, Select Elements with Example Chapter 8: R Sort a Data Frame using Order() Chapter 9: R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread) Chapter 10: Merge Data Frames in R: Full and Partial Match Chapter 11: Functions in R Programming (with Example) Chapter 12: IF, ELSE, ELSE IF Statement in R Chapter 13: For Loop in R with Examples for List and Matrix Chapter 14: While Loop in R with Example Chapter 15: apply(), lapply(), sapply(), tapply() Function in R with Examples Chapter 16: Import Data into R: Read CSV, Excel, SPSS, Stata, SAS Files Chapter 17: How to Replace Missing Values(NA) in R: na.omit & na.rm Chapter 18: R Exporting Data to Excel, CSV, SAS, STATA, Text File Chapter 19: Correlation in R: Pearson & Spearman with Matrix Example Chapter 20: R Aggregate Function: Summarise & Group_by() Example Chapter 21: R Select(), Filter(), Arrange(), Pipeline with Example Chapter 22: Scatter Plot in R using ggplot2 (with Example) Chapter 23: How to make Boxplot in R (with EXAMPLE) Chapter 24: Bar Chart & Histogram in R (with Example) Chapter 25: T Test in R: One Sample and Paired (with Example) Chapter 26: R ANOVA Tutorial: One way & Two way (with Examples) Chapter 27: R Simple, Multiple Linear and Stepwise Regression [with Example] Chapter 28: Decision Tree in R with Example Chapter 29: R Random Forest Tutorial with Example Chapter 30: Generalized Linear Model (GLM) in R with Example Chapter 31: K-means Clustering in R with Example Chapter 32: R Vs Python: What's the Difference? Chapter 33: SAS vs R: What's the Difference?
Author: Michael J. Graham
Publisher: Corwin Press
ISBN: 1506360173
Category : Education
Languages : en
Pages : 225
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Book Description
This book offers completely new and updated classroom examples, teaching tips, and sample lessons aligned to standards to help teachers begin to use these tools effectively.
Author: Patrice-Anne Rutledge
Publisher: Que Publishing
ISBN: 0133818381
Category : Computers
Languages : en
Pages : 363
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Book Description
Full-color, step-by-step tasks walk you through doing exactly what you want with Google Apps. Learn how to: Use Google Apps to reduce technology expenses and grow your business Choose the best Google Apps version for your needs Quickly activate and customize your account Give your users customized email that uses your domain, not gmail.com Connect Gmail to your smartphone so your email and schedule always go with you Create, format, edit, print, and collaborate on documents with Docs Track and analyze your data with Sheets Create presentations with Slides and present anywhere via the Internet Cut travel costs: run video meetings online with Google Hangouts Improve project collaboration with a shared Sites workspace Efficiently manage and share your schedule with Calendar Store and share your files for secure anytime/anywhere access Sync your files between your PC or Mac and Google Drive in the cloud Use Vault to archive content and activity for compliance or other legal reasons Step-by-step instructions with callouts to new Google Apps screenshots that show you exactly what to do. Help when you run into Google Apps problemsor limitations. Tips and Notes to help you get the most from Google Apps.
Author: Sherry Kinkoph Gunter
Publisher: Pearson Education
ISBN: 0789752956
Category : Computers
Languages : en
Pages : 363
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Book Description
Get step-by-step instructions to the new Google Apps screenshots, and learn exactly what to do to get the most from them. From choosing the best apps version for your needs, to managing and sharing your Calendar or syncing your files between your PC or Mac and Google Drive in the cloud, Gunter and Rutledge help you when you run into problems or limitations.
Author: Giuseppe Ciaburro
Publisher: Packt Publishing Ltd
ISBN: 1788398874
Category : Computers
Languages : en
Pages : 489
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Book Description
Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A practical approach to produce your trained ML models and port them to your mobile for easy access Book Description Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems. What you will learn Use Google Cloud Platform to build data-based applications for dashboards, web, and mobile Create, train and optimize deep learning models for various data science problems on big data Learn how to leverage BigQuery to explore big datasets Use Google’s pre-trained TensorFlow models for NLP, image, video and much more Create models and architectures for Time series, Reinforcement Learning, and generative models Create, evaluate, and optimize TensorFlow and Keras models for a wide range of applications Who this book is for This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy
Author: William Miller
Publisher: Routledge
ISBN: 1317994019
Category : Language Arts & Disciplines
Languages : en
Pages : 185
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Book Description
In only a few years, Google has become an authoritative provider of multiple products which have changed the digital information landscape. This book discusses how libraries can go beyond Google’s basic search and Scholar functions to expand services for their patrons. Respected authorities reveal the expanding variety of new Google applications developed in the past few years, many of which have not received wide attention and are as yet not often used in libraries. Applications explored include Google Co-op, Google News, Google Docs & Spreadsheets, Google Calendar, and Google Talk. This book also discusses different important aspects of the company’s expansion of functions, such as the failure of the Google Answers experiment, the broad variety of free Google applications that librarians can use to collaborate, and the success of Google’s Blogger, among others. A helpful chronology of Google’s growth is provided, as well as comparative analyses between various Google functions and other functions that are currently available. The book is extensively referenced. This book is an invaluable resource for academic librarians, public librarians, school librarians, library science faculty, and special librarians. This book was published as a special issue of the Journal of Library Administration.
Author: Michael J. Graham
Publisher: Corwin Press
ISBN: 1483306402
Category : Education
Languages : en
Pages : 249
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Book Description
Your all-in-one solution to college and career readiness in the 21st century! Transform your classroom into a 21st century learning lab for college and career ready students! With step-by-step instructions and numerous screen shots for a variety of Google apps, you’ll learn how to meet and exceed Common Core standards with Google’s suite of free, easy-to-use educational tools. This book includes: Detailed instructions for integrating Common Core technology standards into your curriculum Sample lesson plans and correlations for elementary, middle school, and high school Links to training videos, websites, student samples, and interviews with Google Apps for Education users
Author: V Kishore Ayyadevara
Publisher: Packt Publishing Ltd
ISBN: 1839216530
Category : Computers
Languages : en
Pages : 805
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Book Description
Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questions Key FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created especially for this bookBook Description Deep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets. You’ll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You’ll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you’ll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You’ll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you'll move your NN model to production on the AWS Cloud. By the end of this book, you’ll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently. What you will learnTrain a NN from scratch with NumPy and PyTorchImplement 2D and 3D multi-object detection and segmentationGenerate digits and DeepFakes with autoencoders and advanced GANsManipulate images using CycleGAN, Pix2PixGAN, StyleGAN2, and SRGANCombine CV with NLP to perform OCR, image captioning, and object detectionCombine CV with reinforcement learning to build agents that play pong and self-drive a carDeploy a deep learning model on the AWS server using FastAPI and DockerImplement over 35 NN architectures and common OpenCV utilitiesWho this book is for This book is for beginners to PyTorch and intermediate-level machine learning practitioners who are looking to get well-versed with computer vision techniques using deep learning and PyTorch. If you are just getting started with neural networks, you’ll find the use cases accompanied by notebooks in GitHub present in this book useful. Basic knowledge of the Python programming language and machine learning is all you need to get started with this book.
