ViewTube

Machine learning is all around us; on our phones, powering social networks, helping the police and doctors, scientists and mayors ...

Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to ...

Lecture 11 in the Introduction to Machine Learning (aka Machine Learning I) course by Dmitry Kobak, Winter Term 2020/21 at the ...

Bayesian optimization, Thompson sampling and multi-armed bandits. Applications to algorithm configuration, intelligent user ...

Introduction to Gaussian process regression. Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html Course ...

There's one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the ...

Bee populations around the world are declining, and experts don't know why. Led by by founder Katharina Schmidt, apic.ai is ...

Introduction to Random Forests. Welcome to Introduction to Machine Learning for Coders! Lesson 1 will show you how to create a ...

Components of the learning problem. Lecture 1 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser ...

Welcome to the ultimate machine learning course designed to take you from a complete beginner to a confident machine learning ...

Random forests, aka decision forests, and ensemble methods. Slides available at: ...

Mike Luya, our university admissions expert, shares his insider knowledge on how to gain admission to UCL to study an MSc in ...

To understand the difference between the validation phase and the testing phase in machine learning, ask yourself this: are you a ...

This is Lecture 1 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...

Part of the End-to-End Machine Learning School course library at http://e2eml.school See these concepts used in an End to End ...

SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) Target Audience: Senior Undergraduate Engineering ...

Lecture 2 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes ...

Fundamentals of Machine Learning for Earth Science Part 1: Overview of Machine Learning Trainers: Jordan A. Caraballo-Vega, ...

SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) Target Audience: Senior Undergraduate Engineering ...

For more Science Videos: https://lt.org/ * The Earth system is unique and highly complex, presenting a daunting challenge to ...