This course consists of lectures, exercises involving multiple-choice tests (MyCourse Quizzes), and a student project which will be peer-graded. You can freely collect points via the various course activities (quizzes and/or projects). In particular, you can reach the top grade solely by achieving full points in the multiple-choice tests or via the student project. There is no minimum requirement for any of the course activities. Thus you can freely decide where (quizzes and/or student project) to collect points.

Free Coupon Discount - Knowledge Graph solution development using TigerGraph, Knowledge Graph Solutions Created by Neena Sathi Preview this Course GET COUPON CODE You will be able to understand and document the use case for knowledge graph solution You will be able to Design a Knowledge Graph solution You will be able to Design / extract data from Knowledge Graph data sources. You will be able to Design / Build key knowledge graph solution components and analytics Finally, You will be able to Prototype a graph analytics experience and document your understanding on Knowledge Graph Insights using a "Rapid Prototyping of Knowledge Graph Solutions using TigerGraph" course will help you strategize knowledge graph use cases and help you build or prototype a use case for your knowledge graph engagement. This course includes - How to define Graph Use Case - How to set up Sandbox using TigerGraph for your Graph use case - How to develop and execute structured graph queries - How to define elastic or higher level graph representation - Finally how to connect your graph solution with other solution components using Python. Who this course is for: Management, strategy and business analyst professionals Architects, technical leads and system analysts from IT organization Senior year undergraduate and graduate students in Business, Analytics, and IT Vendors, consultants and service providers for Graph Analytics 100% Off Udemy Coupon . You will be able to understand and document the use case for knowledge graph solution You will be able to Design a Knowledge Graph solution You will be able to Design / extract data from Knowledge Graph data sources.

This course is giving you the chance to systematically master the core concepts in statistics & probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some advance regression / machine learning methods such as logistics regressions, polynomial regressions, decision trees and more. In real-life examples you will learn the stats knowledge needed in a data scientist's or data analyst's career very quickly.

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.

The topics outlined below are taught using practical Python projects!

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.

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.

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.

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.

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.