Overview of logistic regression, a statistical classification technique.
From playlist Machine Learning
Gilles Pagès: Optimal vector Quantization: from signal processing to clustering and ...
Abstract: Optimal vector quantization has been originally introduced in Signal processing as a discretization method of random signals, leading to an optimal trade-off between the speed of transmission and the quality of the transmitted signal. In machine learning, similar methods applied
From playlist Probability and Statistics
Clustering and Classification: Support Vector Machines and Decision Trees, Part 1
Data Science for Biologists Clustering and Classification: Support Vector Machines and Decision Trees Part 1 Course Website: data4bio.com Instructors: Nathan Kutz: faculty.washington.edu/kutz Bing Brunton: faculty.washington.edu/bbrunton Steve Brunton: faculty.washington.edu/sbrunton
From playlist Data Science for Biologists
Machine Learning for HEP by Tommaso Dorigo
Discussion Meeting : Hunting SUSY @ HL-LHC (ONLINE) ORGANIZERS : Satyaki Bhattacharya (SINP, India), Rohini Godbole (IISc, India), Kajari Majumdar (TIFR, India), Prolay Mal (NISER-Bhubaneswar, India), Seema Sharma (IISER-Pune, India), Ritesh K. Singh (IISER-Kolkata, India) and Sanjay Kuma
From playlist HUNTING SUSY @ HL-LHC (ONLINE) 2021
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Representing multivariate random signals using principal components. Principal component analysis identifies the basis vectors that describe the la
From playlist Random Signal Characterization
Data Science Hands-On Crash Course
Learn the basics of Data Science in the crash course. You will learn about the theory and code behind the most common algorithms used in data science. ✏️ Course created by Marco Peixeiro. Check out his channel: https://www.youtube.com/channel/UC-0lpiwlftqwC7znCcF83qg 💻 Code: https://gith
From playlist Data Science
04-3 Sensitivity Analysis Trees
Sensitivity analysis using classification and regression trees
From playlist QUSS GS 260
(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
Lecture 15: Microarray Disease Classification
MIT HST.512 Genomic Medicine, Spring 2004 Instructor: Dr. Steven A. Greenberg View the complete course: https://ocw.mit.edu/courses/hst-512-genomic-medicine-spring-2004/ YouTube Playlist: https://www.youtube.com/watch?v=_-gQchCLmXk&list=PLUl4u3cNGP613PJMNmRjAIdBr76goU1V5 This is the Use
From playlist MIT HST.512 Genomic Medicine, Spring 2004
Clustering and Classification: Advanced Methods, Part 4
Data Science for Biologists Clustering and Classification: Advanced Methods Part 4 Course Website: data4bio.com Instructors: Nathan Kutz: faculty.washington.edu/kutz Bing Brunton: faculty.washington.edu/bbrunton Steve Brunton: faculty.washington.edu/sbrunton
From playlist Data Science for Biologists
Deep InfoMax: Learning deep representations by mutual information estimation and maximization | AISC
For more details including paper and slides, visit https://aisc.a-i.science/events/2019-04-11/ Discussion lead/coauthor: Karan Grewal Abstract Building agents to interact with the web would allow for significant improvements in knowledge understanding and representation learning. Howev
From playlist Natural Language Processing
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
Fellow Short Talks: Professor Richard Samworth, Cambridge University
Bio Richard Samworth is Professor of Statistics in the Statistical Laboratory at the University of Cambridge and a Fellow of St John’s College. He received his PhD, also from the University of Cambridge, in 2004, and currently holds an EPSRC Early Career Fellowship. Research His main r
From playlist Short Talks
Choosing a Machine Learning Algorithm- MATLAB Live!
Join us as we look at different types of machine learning algorithms and try to pick the best one for your data. -------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLA
From playlist MATLAB and Simulink Livestreams
13. Machine Learning for Mammography
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Adam Yala View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Dr. Yala discusses deep learning models for mammogram interpreta
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
