Instructional Material
Neural Online Graph Exploration
Chiotellis, Ioannis, Cremers, Daniel
Can we learn how to explore unknown spaces efficiently? To answer this question, we study the problem of Online Graph Exploration, the online version of the Traveling Salesperson Problem. We reformulate graph exploration as a reinforcement learning problem and apply Direct Future Prediction (Dosovitskiy and Koltun, 2016) to solve it. As the graph is discovered online, the corresponding Markov Decision Process entails a dynamic state space, namely the observable graph and a dynamic action space, namely the nodes forming the graph's frontier. To the best of our knowledge, this is the first attempt to solve online graph exploration in a data-driven way. We conduct experiments on six data sets of procedurally generated graphs and three real city road networks. We demonstrate that our agent can learn strategies superior to many well known graph traversal algorithms, confirming that exploration can be learned.
CS194-26/294-26 Intro to Computer Vision and Computational Photography
COURSE DESCRIPTION: The aim of this advanced undergraduate course is to introduce students to computing with visual data (images and video). We will cover acquisition, representation, and manipulation of visual information from digital photographs (image processing), image analysis and visual understanding (computer vision), and image synthesis (computational photography). Key algorithms will be presented, ranging from classical (e.g. ConvNets, GANs), with an emphasis on using these techniques to build practical systems. This hands-on emphasis will be reflected in the programming assignments, in which students will have the opportunity to acquire their own images and develop, largely from scratch, the image analysis and synthesis tools for solving applications.
Machine Learning experiments and engineering with DVC
Online video course to teach basics for Machine Learning experiment management, pipelines automation and CI/CD to deliver ML solution into production. During these lessons you'll discover base features of Data Version Control (DVC), how it works and how it may benefit your Machine Learning and Data Science projects. During this course listeners learn engineering approaches in ML around a few practical examples. Screencast videos, repositories with examples and templates to put your hands dirty and make it easier apply best features in your own projects.
Learn and Teach R
If you haven't explored the RStudio website in a while, your next visit may include a pleasant surprise. I recently went to the Tidymodels page, just to see what was new and was immediately drawn into the new landscape imagined by the RStudio education team. Clicking on Get Started I came to a fork and a choice of going farther with Tidymodels or backing up a bit. I went down the beginners path Finding Your Way to R and found myself in a well-lit wood, and I was not lost. Like a park with well-marked trails, the Learning R section of the RStudio Education site branches off to R excursions graded to match the "hikers" experience.
Complete Python 3 Bootcamp course: Beginner to Advance 2020
Become an expert python Programmer and learn one of the most requested skills by Good Companies around the World. This Course will Take you from absolute beginner to Advance Level in Python Programming. Even if You have never Programmed in any language or if you already know basic python and want to learn much more deeper concepts like advance modules, multi-threading, then this course is for you. This Course is also design for those who want to learn machine learning and deep learning in future, this course will make you able to understand and write complex codes in simple way. You will learn Basics of python like Basic Datatype, Objects and Data Structure as well as you will learn advance and useful concept like, how to send emails using python script, Understanding of Decorators, implementation of Generators in order to reduce the space complexity of the Program in a simple way.
Tips to learn coding for beginners of all ages: A complete guide for you to start coding NOW
Coding is the language of the future and it has its own syntax and grammar. It is the process of creating step-by-step instructions a computer understands and needs in order for its programs to work. Learning how to code can not just help students become software engineers in the future, but rather help them develop a language skill which will be used in almost every field in future jobs. When you understand coding, you start to think and process information differently and become an active co-creator in the technology used around you. It will allow you tackle large problems by breaking them down into a sequence of smaller problems by combining maths, logic and algorithm.
How AI works: An introduction coming to a school near you
The critical importance of tech skills across industries sends a clear signal: In order to meet the expectations of future administrators and employers, elementary to high school students will need to learn expertise unavailable to their parents' generation. Today's leading innovation technology is machine learning, and to address the need for this vital skill set, the latest offering from the longtime partnership of Microsoft and code.org is a new course in artificial intelligence (AI) and its societal and ethical implications designed for students in elementary and high school. AI's relevance cannot be understated, as it is the very basis for self-driving cars, but it also powers devices we've already become accustomed to, such as Amazon Alexa, interactive programming, telemed appointments, and online learning. Those are some very big responsibilities to be tackled by Gen Z. As code.org points out,despite the great benefits to society, the ethical impact can't be ignored: "How does algorithmic bias impact social justice or deep fakes impact democracy? How does society cope with rapid job automation? By learning how to consider the ethical issues that AI raises, these future computer scientists will be better able to envision the appropriate safeguards that help to maximize the benefits of AI technologies and reduce their risks."
Artificial Intelligence Website Design Tools 2020
Online Courses Udemy - Learn Incredible Website Design, Development Tools and Platforms using Artificial Intelligence (AI) Technology Created by Srinidhi Ranganathan English [Auto-generated] Students also bought XML and XSD: a complete W3C-content based course ( 10 hours) The Complete Web Developer Masterclass: Beginner To Advanced HTML & CSS - Certification Course for Beginners Start to finish - Creating a complete game using Unity3D ML for Business Managers: Build Regression model in R Studio Preview this course GET COUPON CODE Description What is this Website Design course all about? Website design is the art and science of building the look, feel, and how a website functions in a nutshell. This course is having a clear, concise, and easy to use website design technologies and will ultimately lead to better user experience for your custom audience or clients. There are many aspects of successful website design like HTML, colors, layouts, text size, graphics, and so much more. But, this course is a huge differentiator in the design field as it uses artificial intelligence-based website design state-of-the-art technologies which is covered nowhere in the world.