Grafting (decision trees)
Grafting is the process of adding nodes to inferred decision trees to improve the predictive accuracy. A decision tree is a graphical model that is used as a support tool for decision process. (Wikipedia).
Grafting is the process of adding nodes to inferred decision trees to improve the predictive accuracy. A decision tree is a graphical model that is used as a support tool for decision process. (Wikipedia).
From playlist Decision Tree Learning
IAML7.14 Random forest algorithm
From playlist Decision Tree Learning
Introduction to Decision Trees | Decision Trees for Machine Learning | Part 1
The decision tree algorithm belongs to the family of supervised learning algorithms. Just like other supervised learning algorithms, decision trees model relationships, and dependencies between the predictive outputs and the input features. As the name suggests, the decision tree algorit
From playlist Introduction to Machine Learning 101
Decision trees are powerful and surprisingly straightforward. Here's how they are grown. Code: https://github.com/brohrer/brohrer.github.io/blob/master/code/decision_tree.py Slides: https://docs.google.com/presentation/d/1fyGhGxdGcwt_eg-xjlMKiVxstLhw42XfGz3wftSzRjc/edit?usp=sharing PERM
From playlist Data Science
(ML 2.1) Classification trees (CART)
Basic intro to decision trees for classification using the CART approach. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
Decision and Classification Trees, Clearly Explained!!!
Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situations. This StatQuest covers all the basics and shows you how to create a new tree from scratch, one step at a time. NOTE: This
From playlist StatQuest
Decision Tree 7: continuous, multi-class, regression
Full lecture: http://bit.ly/D-Tree Decision trees are interpretable, they can handle real-valued attributes (by finding appropriate thresholds), and handle multi-class classification and regression with minimal changes.
From playlist Decision Tree
Manipulating plant genes...through grafting!
If you plant a seed from your orange, you might have to wait as long as 15 years to get a tree with fruit, which is kind of a bummer for the impatient types among us. Fortunately, there’s an age-old trick called grafting that can shorten that wait. And grafting do all kinds of other things
From playlist Biology
Automating Annotation Process Using Rule-Based Algorithm
Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for Healthcare NLP Summit 2023: https://www.nlpsummit.org/#register Watch all NLP Summit 2022 sessions: https://www.nlpsummit.org/nlp-summit-2022-watch-now/ Presented by Priya Shaji, Data Scientist at MEMORIAL SLOAN
From playlist NLP Summit 2022
This Crazy Tree Grows 40 Kinds of Fruit | National Geographic
Sam Van Aken, an artist and professor at Syracuse University, uses "chip grafting" to create trees that each bear 40 different varieties of stone fruits, or fruits with pits. The grafting process involves slicing a bit of a branch with a bud from a tree of one of the varieties and insertin
From playlist Celebrating 10 Million Subscribers! | National Geographic
3 Ridiculous Ways Plants Get Sick
Plants can get sick, but since they don’t walk around sneezing on each other, the things that infect them need some very weird strategies to spread. Hosted by: Michael Aranda SciShow has a spinoff podcast! It's called SciShow Tangents. Check it out at http://www.scishowtangents.org ----
From playlist Biology
Why It’s HARD To Bring A New Apple To Market
Thanks to the University of Minnesota for sponsoring this video! http://twin-cities.umn.edu/ Fruit trees are unpredictable and grow slowly, and consumer tastes are fickle, so successful new varieties of fruit are rare. Thanks also to our Patreon patrons https://www.patreon.com/MinuteEart
From playlist Food, Farms, & Fish
Stream Full Episodes of How It's Made: https://www.discoveryplus.com/show/how-its-made Subscribe to Science Channel: http://bit.ly/SubscribeScience Like us on Facebook: https://www.facebook.com/ScienceChannel Follow us on Twitter: https://twitter.com/ScienceChannel Follow us on Instag
From playlist How It's Made
Meltem Ünel: Height coupled trees
HYBRID EVENT Recorded during the meeting "Random Geometry" the January 20, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics
From playlist Probability and Statistics
Branched complex projective structures on surfaces (Lecture 01) by Stefano Francaviglia
DISCUSSION MEETING SURFACE GROUP REPRESENTATIONS AND PROJECTIVE STRUCTURES ORGANIZERS: Krishnendu Gongopadhyay, Subhojoy Gupta, Francois Labourie, Mahan Mj and Pranab Sardar DATE: 10 December 2018 to 21 December 2018 VENUE: Ramanujan Lecture Hall, ICTS Bangalore The study of spaces o
From playlist Surface group representations and Projective Structures (2018)
Extinct Apples and the Golden Age of American Pomology
There used to be so many different varieties of apples. Now, we have only a few. The History Guy remembers extinct apples, American History and the golden age of American pomology. The History Guy uses images that are in the Public Domain. As photographs of actual events are often not a
From playlist History without War
William R. Polk on “America Confronts the Post-Imperial World,” Lecture 2
“How, from Our Earliest Days, We Have Been Beset by Fear of Violence and Have Increasingly Put Our Faith in Military Force” William R. Polk, a veteran foreign policy consultant, and author, gave a series of three lectures in February 2018 on “America Confronts the Post-Imperial World” for
From playlist The MacMillan Center
Fundamental Machine Learning Algorithms - Decision Trees
The code is accessible at https://github.com/sepinouda/Machine-Learning/
From playlist Machine Learning Course
