Get started with machine learning and the Core ML framework, and learn how to build your own custom machine learning model and integrate it into an iOS app.

Want to incorporate machine learning into your iOS app? With the Core ML SDK and the Create ML app from Apple, you can quickly start integrating machine learning features into your projects. In this course, Emmanuel Henri covers the basics of machine learning, as well as how to work with Core ML and Create ML to add machine learning models to your apps. Emmanuel covers the different parts of the Core ML SDK, how to set up a new project using Create ML, and how to get input values into and test a model. He also steps through how to integrate your machine learning model into an iOS application and convert models from non-iOS sources.

Learn how to use machine learning to automate and improve your marketing campaigns, including customer engagement and account-based marketing.

Learn how to apply the power of machine learning to mobile app development, using platforms such as IBM Watson, Microsoft Azure Cognitive Services, and Apple Core ML.

Excel, R, and Power BI are applications universally used in data science and across businesses and organizations around the world. If you’ve spent any time trying to figure out how to better model your data to get useful insights from it that you can act upon, you’ve most likely encountered these applications. In this course, Helen Wall shows how to use Excel, R, and Power BI for logistic regression in order to model data to predict the classification labels like detecting fraud or medical trial successes. Helen walks through several examples of logistic regression. She shows how to use Excel to tangibly calculate the regression model, then use R for more intensive calculations and visualizations. She then illustrates how to use Power BI to integrate the capabilities of Excel calculations and R in a scalable, sharable model.

Welcome to Machine Learning with ML.NET. In this course, instructor Pranav Rastogi guides you through the concepts of machine learning, what you can build with these concepts, and how to get started. First, Pranav explains what ML.NET is and what you can do with the framework. He covers how to build a ML model for sentiment analysis of customer reviews and explains how to classify incoming GitHub issues into one of the many tags (labels) using a multiclass classification algorithm. Pranav shows you how to recommend movies for users using collaborative filtering-based recommendation approach. He concludes by discussing how deep learning enables many more scenarios, using sound, images, text and other data types.

This course was created by Microsoft.NET. We are pleased to host this training in our library.

You’ve probably heard about machine learning before, but have you ever wondered what that term really means? How does a machine learn? Have you thought about building a machine learning model, but didn’t know where to start? In this course, Frederick Nwanganga introduces machine learning in an approachable way and provides step-by-step guidance on how to get started with machine learning via the most in-demand language in use today, Python. Frederick starts with exactly what it means for machines to learn and the different ways they learn, then gets into how to collect, understand, and prepare data for machine learning. He also provides guided examples of how to accomplish each step using Python. Finally, he brings it all together to build, evaluate, and interpret the results of a machine learning model in Python.

Learn to use scikit-learn, the popular open-source Python library, to build efficient machine learning models.

Get up and running with macOS Big Sur, the operating system from Apple. Instructor Nick Brazzi provides a comprehensive overview of macOS Big Sur, sharing the fundamental concepts you need to know to work with a Mac computer. Nick steps through how to set up and configure your Mac. He then shares how to use Finder, a tool for browsing files and folders, as well as how to organize your desktop to maintain a clean workspace. Plus, learn how to launch, use, and set preferences for applications; work with email and calendars; and search the web with Safari. Whether you're a Windows user looking to make the switch to Mac—or you're new to working with computers in general—this course can help you quickly get up to speed with the basics of the Mac operating system.

Thinking of updating to macOS Big Sur? This course can help you get up to speed with the most important new features that come packed in this powerful operating system from Apple. Instructor Nick Brazzi goes over the reworked visual design in macOS Big Sur, helping you get accustomed to the OS's new look. Nick covers changes to System Preferences, as well as how to adjust settings in the Control Center—a tool that was previously only available on iPhones and iPads. Plus, he highlights changes to key applications that come bundled with macOS Big Sur, including new privacy features in Safari, the redesigned Maps application, and the option to trim and apply color, contrast, and other effects to video clips stored in your Photos library.

Learn everything you need to know about macOS Catalina in this comprehensive training on the desktop operating system from Apple.

Discover the new features in macOS Catalina, the desktop operating system for Macintosh computers.

Effectively work with macOS systems as an IT admin. Review the fundamentals of how the macOS works and how it interacts with management tools, networks, and server systems.

Get the most out of macOS Mojave. Find out how to organize files and folders; use Mail, Calendar, and iMessage; install new apps; and more.

If you are buying a new Mac, upgrading your current Mac, or migrating from Windows, you’ll need to know the ins and outs of the latest operating system from Apple. Instructor Nick Brazzi starts with the basics: AppleID and iCloud accounts, doing the first-time setup of a new computer, configuring system preferences and user accounts. Nick explains how to connect accessories, use keyboard shortcuts, and connect to the internet. Then he dives into the many ways you can use Finder, your Mac’s equivalent of a very easily searchable filing cabinet. Nick covers how to organize items on your desktop and customize the desktop wallpaper. After stepping you through ways to launch and use applications, he presents the information you need to install, update, and manage applications.

Work more efficiently with macOS, the powerful operating system from Apple. Get bite-sized tips for customizing the interface, managing files, and working with applications.

Learn how OS X Server (El Capitan) can increase your productivity and apparent network speed. Learn how to deploy, administer, and maintain OS X Server.

Knowing how to administer and configure macOS is a key skill that any IT admin should know. Learn how to back up, restore, monitor, and secure macOS Sierra.

Learn how to use MadCap Flare 12 to author technical documentation—help systems, software manuals, and knowledge bases—in various print and online formats, including HTML5 and PDF.