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.”

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.

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?

We've all been there before, staring at a computer screen with no idea what to do - don't worry Understanding Google Docs is here to help. Written by best-selling technology author, lecturer, and computer trainer Kevin Wilson, Understanding Google Docs is packed with easy to follow instructions, photos, illustrations, helpful tips and video demos. Updated to cover the latest version of Google Docs, this guide will show you how to: Start Google Docs and find your way around navigation menus Format text: bold, italic, underlined, strike, and super/sub script Align, highlight and change text colour Cut, copy, paste and using the clipboard Use headers, footers, and columns Insert page numbers, and contents pages Add page and section breaks Adjust line spacing, and tab stops, as well as bullet and numbered lists Convert documents to other formats such as PDF or Microsoft Word Share your documents, print them out, or email them as attachments. Collaborate with other users and work on group projects with collaboration features Insert wordart, drawings, charts, tables, equations and special characters Add images, crop, wrap text and use effects Check spelling and grammar Improve your work with dictionary define and lookup features Expand the functionality of Google Docs using Addons Take Google Docs with you on your tablet and work on your documents anywhere You'll want to keep this edition handy as you make your way around Google Docs. Have Fun!

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.

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.

Over 70 recipes to help you develop smart applications on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano using the power of machine learning Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Over 20+ new recipes, including recognizing music genres and detecting objects in a scene Create practical examples using TensorFlow Lite for Microcontrollers, Edge Impulse, and more Explore cutting-edge technologies, such as on-device training for updating models without data leaving the device Book DescriptionDiscover the incredible world of tiny Machine Learning (tinyML) and create smart projects using real-world data sensors with the Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano. TinyML Cookbook, Second Edition, will show you how to build unique end-to-end ML applications using temperature, humidity, vision, audio, and accelerometer sensors in different scenarios. These projects will equip you with the knowledge and skills to bring intelligence to microcontrollers. You'll train custom models from weather prediction to real-time speech recognition using TensorFlow and Edge Impulse.Expert tips will help you squeeze ML models into tight memory budgets and accelerate performance using CMSIS-DSP. This improved edition includes new recipes featuring an LSTM neural network to recognize music genres and the Faster-Objects-More-Objects (FOMO) algorithm for detecting objects in a scene. Furthermore, you’ll work on scikit-learn model deployment on microcontrollers, implement on-device training, and deploy a model using microTVM, including on a microNPU. This beginner-friendly and comprehensive book will help you stay up to date with the latest developments in the tinyML community and give you the knowledge to build unique projects with microcontrollers!What you will learn Understand the microcontroller programming fundamentals Work with real-world sensors, such as the microphone, camera, and accelerometer Implement an app that responds to human voice or recognizes music genres Leverage transfer learning with FOMO and Keras Learn best practices on how to use the CMSIS-DSP library Create a gesture-recognition app to build a remote control Design a CIFAR-10 model for memory-constrained microcontrollers Train a neural network on microcontrollers Who this book is for This book is ideal for machine learning engineers or data scientists looking to build embedded/edge ML applications and IoT developers who want to add machine learning capabilities to their devices. If you’re an engineer, student, or hobbyist interested in exploring tinyML, then this book is your perfect companion. Basic familiarity with C/C++ and Python programming is a prerequisite; however, no prior knowledge of microcontrollers is necessary to get started with this book.