Algorithms Online Courses for ASU Students

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Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer...
We will learn computational methods - algorithms and data structures - for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing...
If you have ever used a navigation service to find optimal route and estimate time to destination, you\'ve used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you\'re looking for the fastest...
What you\'ll achieve: In this project-centered course* you will build a modern computer system, from the ground up. We\'ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning...
In this six-module course, you will learn how businesses and organizations behave in situations in which strategic decisions are interdependent, i.e. where my actions affect my competitors\' profits and vice versa. Using the basic tools of game theory, we will analyse how businesses choose...
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional...
In this course taught by E. Michael Harrington, students will learn the basis for copyright including what is and is not covered by copyright law. This course will help clarify what rights artists have as creators as well as what the public is free to take from their work. Students will also...
Fear and uncertainty about copyright law often plagues educators and sometimes prevents creative teaching. This course is a professional development opportunity designed to provide a basic introduction to US copyright law and to empower teachers and librarians at all grade levels. Course...
How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an...
In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests. Digital images and videos are everywhere these days - in thousands of scientific (e.g, astronomical,...
In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance...
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer...
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer...
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer...
In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and...
Have you ever wondered how playing games can help us to train people, deal with societal challenges or raise awareness of contemporary social issues? In this MOOC you will learn the ins and outs of games that are designed with exactly those purposes in mind: serious games. We will define serious...
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information.). In our second case study for this course, loan...
Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact...
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone...
Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals,...

Algorithms Online Courses for ASU Students

Searching for ASU Algorithms online courses has never been quicker. Browse Algorithms online courses and more in and around Tempe, AZ. To help narrow your results down, use Algorithms online course filters to refine your ASU Algorithms online course search and enhance your Biology search experience. Sharing relevant Algorithms listings with Arizona State classmates can really help make the search process even faster for them! Uloop.com can help you find ASU Algorithms online courses today!

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