Bootstrap aggregating

Making the Most of Bootstrap

Bootstrap is a set of templates and tools that fast-track front-end web development. Basically, it makes your site look pretty and professional! We'll go over tips and tricks and make sure you're taking full advantage of the opportunities Bootstrap can provide.

From playlist CS50 Seminars 2016

(ML 2.6) Bootstrap aggregation (Bagging)

The statistical technique of "bagging", to reduce the variance of a classification or regression procedure. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA

From playlist Machine Learning

08b Data Analytics: Bootstrap

Lecture on the bootstrap method to assess uncertainty in a sample statistic from the sample itself.

From playlist Data Analytics and Geostatistics

Bootstrap Calibration - Statistical Inference

In this video I introduce you to bootstrap calibration, a technique for improving your confidence intervals, and explain how and why it is so useful.

From playlist Statistical Inference

Jacob Thornton interviewed at OSCON 2012

Jacob Thornton Twitter I work at twitter on the platform team and I'm the co-author of some pretty nifty open source, Ender, Bootstrap, and Hogan.js with my good friends @ded, @mdo, and @sayrer (respectively). I'm not a computer scientist. Also, I'm not obese. But I will respond to fat

From playlist OSCON 2012

Make a mobile responsive website with Bootstrap lesson 9 - Inline form

After this lesson you will be able to construct an Inline form in Bootstrap.

From playlist Mobile web design

Bootstrap 4 - Working With Cards - O'Reilly Web Programming

On Day 2 Jen Kramer of O'Reilly Media, Inc. examines Bootstrap 4's new features and functions, looking at cards. Bootstrap defines these as "a flexible and extensible content container. It includes options for headers and footers, a wide variety of content, contextual background colors, an

From playlist O'Reilly Web Programming

Angular Bootstrap Tutorial | Building Websites with Angular Bootstrap | Angular Training | Edureka

🔥 Edureka Angular Certification Training: https://www.edureka.co/angular-training This Edureka "Angular Bootstrap" video will help you learn to create beautiful websites easily using Bootstrap along with Angular. Take a look at that is covered over here: 3:48 What is Angular? 4:44 Creatin

From playlist Angular Tutorial Videos | Edureka

(ML 2.7) Bagging for classification

The statistical technique of "bagging", to reduce the variance of a classification or regression procedure. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA

From playlist Machine Learning

Random Forest Classification

Understand how the machine learning classifier "Random Forests" work the way they do. We also talk about concepts like: - Decision Trees - Bootstrapping - Bagging - Bagged Decision Trees

From playlist Algorithms and Concepts

(ML 2.8) Random forests

Classification and regression using Breiman's random forests. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA

From playlist Machine Learning

StatsLearning Chapter 5 - part 4

From playlist ISLR Chapter 5: Resampling Methods

Gussow2018 - Unconventional Reservoir Uncertainty

My talk from Gussow 2018 Conference in Lake Louise, Alberta, Canada. I recorded the talk afterwards, with added references and a little more time to explain all the topics.

From playlist Random Talks

Ensembles (2): Bagging

Bootstrap aggregation ensemble learning technique

From playlist cs273a

18. Ensemble techniques

Ensemble techniques leverage many weak learners to create a strong learner! This video describes the basic principle, variance/bias tradeoff, homogeneous/heterogenous ensembles, bagging vs boosting vs stacking and some detailed walkthroughs of decision trees, random forests, adaboost, grad

From playlist Materials Informatics

Random Forest Algorithm | Random Forest Complete Explanation | Data Science Training | Edureka

🔥Edureka Data Scientist Course Master Program https://www.edureka.co/masters-program/data-scientist-certification (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") This Edureka tutorial explains Random Forest Algorithm in detail, important terms in random forest, working of random forest classifier, along with exa

From playlist Data Science Training Videos

Bagging - Data Science

In this video, we learn about a method of ensemble learning: bagging. We learn: 1. How to use bagging with any model 2. Why bagging works to reduce the variance Link to my notes on Introduction to Data Science: https://github.com/knathanieltucker/data-science-foundations Try answering th

From playlist Introduction to Data Science - Foundations

Variable Length Features and Deep Learning

If you’re like me, you don’t really need to train self-driving car algorithms or make a cat-image-detectors. Instead, you're likely dealing with practical problems and normal looking data. The focus of this series is to help the practitioner develop intuition about when and how to use Dee

From playlist Python Keras — Deep Learning Building Blocks

Bootstrap World - Statistical Inference

In this video I introduce Bootstrap World -- here I go over our basic example where we try to estimate the value of θ by using a random sample. We then use a sampling distribution to create a confidence interval. Then, I show you how Bootstrap Samples can help us overcome the problem we fa

From playlist Statistical Inference