Computational resources | Computational complexity theory
In computational complexity theory, a computational resource is a resource used by some computational models in the solution of computational problems. The simplest computational resources are computation time, the number of steps necessary to solve a problem, and memory space, the amount of storage needed while solving the problem, but many more complicated resources have been defined. A computational problem is generally defined in terms of its action on any valid input. Examples of problems might be "given an integer n, determine whether n is prime", or "given two numbers x and y, calculate the product x*y". As the inputs get bigger, the amount of computational resources needed to solve a problem will increase. Thus, the resources needed to solve a problem are described in terms of asymptotic analysis, by identifying the resources as a function of the length or size of the input. Resource usage is often partially quantified using Big O notation. Computational resources are useful because we can study which problems can be computed in a certain amount of each computational resource. In this way, we can determine whether algorithms for solving the problem are optimal and we can make statements about an algorithm's efficiency. The set of all of the computational problems that can be solved using a certain amount of a certain computational resource is a complexity class, and relationships between different complexity classes are one of the most important topics in complexity theory. (Wikipedia).
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From playlist Machine Learning
From playlist Communications & Network Systems
Machine learning describes computer systems that are able to automatically perform tasks based on data. A machine learning system takes data as input and produces an approach or solution to a task as output, without the need for human intervention. Machine learning is closely tied to th
From playlist Data Science Dictionary
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From playlist The Internet
This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
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From playlist Google Docs
Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Machine Learning for Computational Fluid Dynamics
Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. This paper highlights some of the areas of highest potential impact, including to accelerate direct numerical simulations, to i
From playlist Data Driven Fluid Dynamics
Deep dictionary learning approaches for image super-resolution - Pier Luigi Dragotti, Imperial
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Building and Deploying a Model using AutoML in Azure ML
Model selection and tuning hyperparameters can be a tedious task. Setting up multiple runs, hyperparameter sweeps, and algorithms is usually not a Data Scientist’s favorite part of the job. AutoML is a tool in Azure ML that does all of this for you. There are a variety of algorithms, hyper
From playlist Advanced Machine Learning
Open Source Computer Science Degree
In this video, I will be taking you through the various resources that make up the open-source computer science degree. The OSSU curriculum is a complete education in computer science using online materials. It's not merely for career training or professional development. It's for those wh
From playlist Ethical Hacking & Penetration Testing - Complete Course
Penguin Computing and Indiana University partnership
Craig Stewart, Executive Director, Pervasive Technology Institute, and Associate Dean of Research Technologies discusses the partnership between Penguin Computing and Indiana University. More information at Penguin Computing at Indiana University may be found at the Penguin On Demand sit
From playlist Seminars/Workshops
AWS Architecture Tutorial | AWS Tutorial For Beginners | Simplilearn
🔥 Cloud Architect Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/cloud-solutions-architect-masters-program-training?utm_campaign=AWSArchitecture-QbipcgIdSJc&utm_medium=DescriptionFF&utm_source=youtube 🔥 Caltech Cloud Computing Bootcamp (US Only): https://www.simplile
From playlist AWS Tutorial Videos For Beginners 🔥[2022 Updated] | Simplilearn
Planning And Designing Cloud Infrastructure | AWS Training Videos | Simplilearn
The AWS Solutions Architect – Associate course is designed to help you develop well-rounded skills to kick off your journey with AWS. You will enhance your existing knowledge of AWS, and will deepen your understanding of every product and service that AWS offers. You will learn the termi
From playlist AWS Tutorial Videos For Beginners 🔥[2022 Updated] | Simplilearn
D2I - Kate Keahy discusses cloud computing possibilities
Infrastructure-as-a-Service (IaaS) style cloud computing is emerging as a viable alternative to the acquisition and management of physical resources. But what exactly is cloud computing, how can we leverage it, and what opportunities does it open? In this talk, Kate Keahy gives an overvie
From playlist Data to Insight Center (D2I)
Cloud Computing with Microsoft Azure
In the computer industry, cloud computing has developed into a significant paradigm. Through programmable Internet services, it makes it possible to access shared computing resources instantly and easily everywhere. Instant access to resources, allows businesses to react to new market deve
From playlist Advanced Machine Learning
Sudhakar Pamidighantam (2/12/2020): Cyber Infrastructure for Science Gateways
Title: Cyber Infrastructure for Science Gateways Abstract: This talk describes how state of the art computational and data resources can be accessed using science gateways for molecular sciences to support both research and teaching. Cyberinfrastructure for science and computational scie
From playlist DELTA (Descriptors of Energy Landscape by Topological Analysis), Webinar 2020
RT/DSC - Data Movement & Storage - Data Capacitor WAN Filesystem - Justin Miller
Justin Miller gives a talk about Data Movement & Storage (Data Capacitor WAN Filesystem) at the Big Data for Science workshop held at the Pervasive Technology Institute, Indiana University. This event was put on by PTI's Digital Science Center July 26th - July 30th, 2010. For informatio
From playlist Digital Science Center (DSC)
Everything You Need to Know About Microsoft Azure | A Webinar By Simplilearn
🔥Azure Cloud Architect Program (Discount Coupon: YTBE15): https://www.simplilearn.com/azure-cloud-architect-certification-training-course?utm_campaign=EverythingAboutMSAzureWebinar-MW-RQx9hD-E&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Caltech Cloud Computing Bootcamp(US Only): ht
From playlist Simplilearn Live
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From playlist Big Data