Pattern search (optimization)

Discrete Math - 3.1.2 Searching Algorithms

Linear search and binary search algorithms. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz

From playlist Discrete Math I (Entire Course)

Pattern Matching - Correctness

Learn how to use pattern matching to assist you in your determination of correctness. This video contains two examples, one with feedback and one without. https://teacher.desmos.com/activitybuilder/custom/6066725595e2513dc3958333

From playlist Pattern Matching with Computation Layer

Find the Shortest Path - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

Searching and Sorting Algorithms (part 4 of 4)

Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org

From playlist Searching and Sorting Algorithms

Submitting a sitemap and getting your site indexed - Search Engine Optimization Tutorial part 2

This part of the tutorial aims to help you understand how Google ranks websites, how to submit a sitemap, and getting your website indexed.This video series aims to teach you the basics of Search Engine Optimization, or SEO. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex

From playlist Search Engine Optimization

Linear Search In Data Structure | Linear Search Algorithm With Example | Data Structures|Simplilearn

This video is based on the Linear Search in Data Structure. This Simplilearn tutorial is dedicated to helping beginners and professionals to understand the fundamental working principles of the Linear Search algorithm with examples for providing a better learning experience. This Data Str

From playlist Data Structures & Algorithms [2022 Updated]

Recursion Replacement - Intro to Algorithms

This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.

From playlist Introduction to Algorithms

MapReduceDesign Patterns Tutorial - 2 | MapReduce design Patrerns Tutorial for Beginners - 2

Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=mapreduce-tut-2 MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specific to

From playlist MapReduce Design Patterns Tutorial Videos

How to Get More Views on YouTube (NEW Strategy)

In this video I’m going to show you how to get more views on YouTube. In fact, this strategy is one the main reasons that I quickly grew my channel to over 250k views per month (and 400k+ subscribers). With that, here’s what you’ll learn in today’s video. First, I’ll bust the myth that

From playlist YouTube Marketing and Video SEO Tutorials

Laurent Oudre: Machine learning meets signal processing - lecture 2

CIRM HYBRID EVENT Recorded during the meeting "Mathematics, Signal Processing and Learning" the January 27, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians o

From playlist Virtual Conference

Efficient Transfer Learning with Null Prompts

Notion Link: https://ebony-scissor-725.notion.site/Henry-AI-Labs-Weekly-Update-July-15th-2021-a68f599395e3428c878dc74c5f0e1124 Chapters 0:00 Introduction 3:15 Efficient Transfer Learning 5:13 GPT-J Demo 6:48 Two Approaches to Prompting 9:54 Null Prompting 11:20 Results Thanks for watchin

From playlist AI Weekly Update - July 15th, 2021!

!!Con West 2020: Nick Fitzgerald - Writing Programs! That Write Other Programs!!

Presented at !!Con West 2020: http://bangbangcon.com/west Why write programs when you can write a program to write programs for you? And that program writes programs that are faster than the programs you’d write by hand. And that program’s programs are actually, you know, correct. Wow! Y

From playlist !!Con West 2020

Solving Optimization Problems with MATLAB | Master Class with Loren Shure

In this session, you will learn about the different tools available for optimization in MATLAB. We demonstrate how you can use Optimization Toolbox™ and Global Optimization Toolbox to solve a wide variety of optimization problems. You will learn best practices for setting up and solving op

From playlist MATLAB and Simulink Livestreams

Design Optimization: What's Behind It?

Sarah Drewes and Christoph Hahn of MathWorks set up an optimization task for a suspension assembly in Simulink Design Optimization™. They look at the mathematics involved and share best practices to obtain optimal results in an efficient manner. The underlying models are available on MATLA

From playlist MATLAB and Simulink Basics: MATLAB and Simulink Racing Lounge

D2I - Efficient Association Discovery with Keyword-based Constraints on Large Graph Data

Abstract: In many domains, such as social networks, cheminformatics, bioinformatics, and health informatics, data can be represented naturally in graph model, with nodes being data entries and edges the relationships between them. The graph nature of these data brings opportunities and cha

From playlist Data to Insight Center (D2I)

More Complex Patterns

Sometimes you need to nest a pattern in another pattern. Learn how to build these patterns and then extract information from them. https://teacher.desmos.com/activitybuilder/custom/605e21d90925ca0c93fabbbd

From playlist Pattern Matching with Computation Layer

18. Domain Specific Languages and Autotuning

MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Saman Amarasinghe View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf Prof. Amarasinghe discusses domain specific lang

From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018

Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search (Paper Explained)

Neural Architecture Search is usually prohibitively expensive in both time and resources to be useful. A search strategy has to keep evaluating new models, training them to convergence in an inner loop to find out if they are any good. This paper proposes to abstract the problem and extrac

From playlist Papers Explained

DIRECT 2021 02 Dynamic Time Warping

DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data analytics, geostatistics and machine learning. This is the introduction by Michael Pyrcz (co-principal investigator). Join the consortium for access to all graduat

From playlist DIRECT Consortium, The University of Texas at Austin

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From playlist Princeton: COS 226: Algorithms and Data Structures (Fall 2016) | CosmoLearning CS