If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Machine Learning
In this video, you’ll learn more about the evolution of machine learning and its impact on daily life. Visit https://www.gcflearnfree.org/thenow/what-is-machine-learning/1/ for our text-based lesson. This video includes information on: • How machine learning works • How machine learning i
From playlist Machine Learning
Machine Learning with scikit learn Part Two | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram
Tutorial materials found here: https://scipy2017.scipy.org/ehome/220975/493423/ Machine learning is the task of extracting knowledge from data, often with the goal of generalizing to new and unseen data. Applications of machine learning now touch nearly every aspect of everyday life, fro
From playlist talks
Introduction To Machine Learning | Machine Learning Basics for Beginners | ML Basics | Simplilearn
Machine Learning is a trending topic nowadays. This Introduction to Machine Learning video will help you to understand what is Machine Learning, importance of Machine Learning, advantages and disadvantages of Machine Learning, what are the types of Machine Learning - supervised, unsupervis
What Is Machine Learning? | What Is Machine Learning And How Does It Work? | Simplilearn
This Machine Learning tutorial will help you understand what is Machine Learning, Artificial Intelligence vs Machine Learning vs Deep Learning, how does Machine Learning work, types of Machine Learning, Machine Learning pre-requisites and applications of Machine Learning. Machine learning
(ML 7.1) Bayesian inference - A simple example
Illustration of the main idea of Bayesian inference, in the simple case of a univariate Gaussian with a Gaussian prior on the mean (and known variances).
From playlist Machine Learning
(ML 1.1) Machine learning - overview and applications
Attempt at a definition, and some applications of machine learning. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
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
Machine Learning in the Wolfram Language: JSSAC 2016 Seminar
Learn more about machine learning in the Wolfram Language: http://reference.wolfram.com/language/guide/MachineLearning.html In this presentation, Etienne Bernard, Lead Architect in the Advanced Research Group at Wolfram Research, shows functions of machine learning in the Wolfram Language
From playlist Wolfram Language
Statistical Rethinking Fall 2017 - week03 lecture05
Week 03, lecture 05 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapter 5. Slides are available here: https://speakerdeck.com/rmcelreath Additional information on textbook and R package here: http://xcel
From playlist Statistical Rethinking Fall 2017
Statistical Rethinking Winter 2019 Lecture 05
Lecture 05 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. This lectures covers the material in Chapter 5 of the book, including multiple regression, intro to causal inference, and categorical variables.
From playlist Statistical Rethinking Winter 2019
Benchtop Tools - Still Untitled: The Adam Savage Project - 4/28/20
Adam is excited to show off his latest machining project and talks about repurposing cast iron scrap metal in the most satisfying way. We also discuss benchtop-sized tools as a way to learn machining and modelmaking skills, including Adam's recommendation for the Emco compact lathe. And wh
From playlist The Adam Savage Project
Statistical Rethinking Winter 2019 Lecture 07
Lecture 07 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. This lecture covers the back-door criterion and introduction to Chapter 7, overfitting, cross-validation, and information criteria.
From playlist Statistical Rethinking Winter 2019
DevOpsDays Balitmore 2018 - Disaster Resilience the Waffle House Way: ... by Heidi Waterhouse
Disaster Resilience the Waffle House Way: Flat-tops, feature flags, and finite state machines by Heidi Waterhouse Waffle House has a hurricane disaster plan. It has everything that you want from your IT disaster plans, including contact trees, failover states, and runbooks on partial oper
From playlist DevOpsDays Baltimore 2018
23: Stack Frames - Richard Buckland UNSW
Review and discussion of sudoku code from last lecture. Backtrack vs brute force. Course waffles. Stacks, "the stack" in memory, Buffer overflows. Also: the course ENGG1000, wiki textbook (idea from hong kong). Predicates, comparing with TRUE. Stack overflow.
From playlist CS1: Higher Computing - Richard Buckland UNSW
Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193
From playlist E2EML 193. How Neural Networks Work
RubyConf 2018 - The Developer's Toolkit: Everything We Use But Ruby by Noel Rappin
RubyConf 2018 - The Developer's Toolkit: Everything We Use But Ruby by Noel Rappin As developers, our work is mediated through many tools besides languages. We use terminals, browsers, git, and the os. Not to mention editors. These are powerful tools that can be infinitely customized and
From playlist RubyConf 2018
DEFCON 20: DEF CON Comedy Jam V, V for Vendetta
Panel: DAVID MORTMAN CHIEF SECURITY ARCHITECT, ENSTRATUS RICH MOGULL SECUROSIS, @RMOGULL CHRIS HOFF RATIONAL SECURITY, @BEAKER DAVE MAYNOR ERRATA, @DONICER LARRY PESCE PAULDOTCOM.COM, @HAXORTHEMATRIX JAMES ARLEN LIQUID MATRIX, @MYRCURIAL ROBERT DAVID GRAHAM ERRATA SECURITY, @ERRATAROB Yo
From playlist DEFCON 20
eevBLAB #60 - Kickstarter Free Energy SCAMS!
Dave looks at three current free energy / over unity / perpetual motion scams on Kickstarter. This crap got APPROVED by Kickstarter! https://www.kickstarter.com/projects/1252786901/physics-powered-electrical-generator-prototype/description https://www.kickstarter.com/projects/49546066/cle
From playlist Debunking
Transformer (Attention is all you need)
understanding Transformer with its key concepts (attention, multi head attention, positional encoding, residual connection label smoothing) with example. all machine learning youtube videos from me, https://www.youtube.com/playlist?list=PLVNY1HnUlO26x597OgAN8TCgGTiE-38D6
From playlist Machine Learning