Courses tagged with "CMS" (197)

This class is offered as CS7641 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). Taking this course here will not earn credit towards the OMS degree. Machine Learning is a graduate-level course covering the area of Artificial Intelligence concerned with computer programs that modify and improve their performance through experiences. The first part of the course covers Supervised Learning, a machine learning task that makes it possible for your phone to recognize your voice, your email to filter spam, and for computers to learn a bunch of other cool stuff. In part two, you will learn about Unsupervised Learning. Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? Such answers can be found in this section! Finally, can we program machines to learn like humans? This Reinforcement Learning section will teach you the algorithms for designing self-learning agents like us!

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The focus is on how to apply probabilistic machine learning approaches to trading decisions. We consider statistical approaches like linear regression, KNN and regression trees and how to apply them to actual stock trading situations.

*This is the second course in the 3-course Machine Learning Series and is offered at Georgia Tech as CS7641. Taking this class here does not earn Georgia Tech credit.* Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning! Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in data. This course focuses on how you can use Unsupervised Learning approaches -- including randomized optimization, clustering, and feature selection and transformation -- to find structure in unlabeled data. **Series Information**: Machine Learning is a graduate-level series of 3 courses, covering the area of Artificial Intelligence concerned with computer programs that modify and improve their performance through experiences. - [Machine Learning 1: Supervised Learning](https://www.udacity.com/course/ud675) - [Machine Learning 2: Unsupervised Learning](https://www.udacity.com/course/ud741) (this course) - [Machine Learning 3: Reinforcement Learning](https://www.udacity.com/course/ud820) If you are new to Machine Learning, we suggest you take these 3 courses in order. The entire series is taught as an engaging dialogue between two eminent Machine Learning professors and friends: Professor Charles Isbell (Georgia Tech) and Professor Michael Littman (Brown University).

Ten minutes into this class you will make your own completely personalized version of the insanely addictive game 2048. Even if you've never coded before. Pretty cool, no? You'll do this by making small (but important) modifications to the source code for the original 2048 game. If this sounds intimidating, don't worry. We'll teach you the basics of HTML and CSS and how they interact with Javascript (don't worry if that sentence doesn't mean anything to you yet. It will soon). The purpose of this class is to have fun learning how to quickly and easily take an existing open source program, make some changes, and create something that looks and feels completely new. The game you create will be mobile friendly (you can play it on your phone!) and totally shareable.

In this course, you'll learn how to apply the material design principles that define Android's visual language to your apps. We'll start by walking you through Android design fundamentals, then we'll show you how to apply this knowledge to transform design elements of sample apps. By the end of the course, you'll understand how to create and use material design elements, surfaces, transitions and graphics in your app, across multiple form factors.

So you’ve heard mobile is kind of a big deal, and you’re not sure how to transform your traditional desktop-focused web apps into fast, effective mobile experiences. This course is designed to teach web developers what they need to know to create great cross-device mobile web experiences. This course will focus on building mobile web apps, which will work across multiple platforms including Android, iOS, and others.

This course will teach you how to start from scratch in answering questions about the real world using data. Machine learning happens to be a small part of this process. The model building process involves setting up ways of collecting data, understanding and paying attention to what is important in the data to answer the questions you are asking, finding a statistical, mathematical or a simulation model to gain understanding and make predictions. All of these things are equally important and model building is a crucial skill to acquire in every field of science. The process stays true to the scientific method, making what you learn through your models useful for gaining an understanding of whatever you are investigating as well as make predictions that hold true to test. We will take you on a journey through building various models. This process involves asking questions, gathering and manipulating data, building models, and ultimately testing and evaluating them.

Learn stuff.

In this course, you will learn how to monetize apps using Google's AdMob to display banner and interstitial ads. **This course is part of the Google Play Services series, which features a variety of different Google APIs. Designed as standalone short courses, you can take any course on its own, or take them all!** * Google Location Services on Android * Google Analytics for Android * **App Monetization with Display Advertising** [this course] * Add Google Maps to your Android App

The summary for this course comes from the [course web site at Georgia Tech](http://www.cc.gatech.edu/fac/traynor/cs6262/s14/index.html). Note that watching this course on Udacity does not count for Georgia Tech credit unless you are enrolled in the [Georgia Tech OMSCS](http://omscs.gatech.edu/) program. This course provides an introduction to computer and network security. Students successfully completing this class will be able to evaluate works in academic and commercial security, and will have rudimentary skills in security research. The course begins with a tutorial of the basic elements of cryptography, cryptanalysis, and systems security, and continues by covering a number of seminal papers and monographs in a wide range of security areas. Topics covered include network security, authentication, security protocol design and analysis, security modeling, trusted computing, key management, program safety, intrusion detection, DDOS detection and mitigation, architecture/operating systems security, security policy, group systems, biometrics, web security, and other emerging topics. Most of the course readings will come from seminal papers in the field. Links to these papers will be provided on the course pages. In addition, links to critical reference materials will also be provided.

How does the Web work? Under the hood of HTTP there's a whole stack of networking protocols. Explore the underpinnings of the net with tools like `traceroute`, `tcpdump`, and `nc`.

As the first course in the Android Developer Nanodegree, Developing Android Apps is the foundation of our advanced Android curriculum. This course blends theory and practice to help you build great apps the right way. In this course, you'll work with instructors step-by-step to build a cloud-connected Android app, and learn best practices of mobile development, and Android development in particular. ####[Download Udacity's Android app](https://play.google.com/store/apps/details?id=com.udacity.android) to keep learning wherever you go!

Have you been dabbling with JavaScript but find your files keep turning into a mess of spaghetti code? Do you find yourself copying and pasting lines of code over and over throughout your application? Surely there’s a better way, right? Yes, there is a better way -- object-oriented programming will allow you to build websites using reusable blocks of code known as libraries, similar to using bricks to build a house. This course is designed to teach web developers how to utilize the various object-oriented programming features within JavaScript, and more importantly, how to write reusable and maintainable libraries that will make your life easier.

This course is designed to teach students how to understand and identify the differences between the Objective-C and Swift programming languages, and especially, how to rewrite from the former to the latter. Understanding communications between the two languages—called "interoperability"—is becoming more and more important for developers, particularly as we prepare for the arrival of Swift 3.0. In the course, students will write classes and add functionality to classes by writing and calling methods. After learning some basic Objective-C syntax, students will examine and break down an app written in Objective-C and rewrite it in Swift. The course will conclude with a review of and practice with the most common challenges for interoperability between Objective-C and Swift.

This course is focused squarely on user experience, and seeks to show developers how thinking offline-first is the best way to ensure that applications perform their best in all scenarios, not just ideal ones. You'll learn to recognize the differences between good, poor, intermittent, and missing connectivity for your users , and master how to make applications that navigate these conditions with ease. Using the skills you master in this course, you'll conclude by building an app that that works both online and offline, and loads in new data when it can. You'll be a master of the cache! Your web apps will interact with the network just like native apps do. This will lead to better user experiences even in traditionally challenging connection scenarios like being stuck in a train tunnel, having to rely on over-crowded conference Wi-Fi, or traveling through a cellular “dead zone!”

This is an OMSCS orientation course for all Georgia Tech OMS students.

For an app developer, providing a seamless user experience is critical for building engagement and growing a user base. Passwordless login solution provide your users with a simple, secure, and positive first experience. In this course, you'll learn two frameworks for sign-up and authentication : Account Kit, which uses a phone number and code and Facebook Login for Android. You’ll learn how to configure both types of authentication side by side in a sample app, test the flow on a series of common use cases and wrap things up with an introduction to Facebook’s Graph API, a window into an incredible wealth of data for creating a more engaging experience for your users.

For an app developer, providing a seamless user experience is critical for building engagement and growing a user base. Passwordless login solution provide your users with a simple, secure, and positive first experience. In this course, you'll learn two frameworks for sign-up and authentication : Account Kit, which uses a phone number and code and Facebook Login for iOS. You’ll learn how to configure both types of authentication side by side in a sample app, test the flow on a series of common use cases and wrap things up with an introduction to Facebook’s Graph API, a window into an incredible wealth of data for creating a more engaging experience for your users.

The Problem Solving with Analytics course provides students with the foundational knowledge to use data analytics to create business insights. You will learn:

There is nothing more powerful than an idea whose time has come. This course is designed to help you materialize your game-changing idea and transform it into a product that you can build a business around. Product Design blends theory and practice to teach you product validation, UI/UX practices, Google’s Design Sprint and the process for setting and tracking actionable metrics.