ViewTube

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

Today we do a deep dive in to feature importance, including ways to make your importance plots more informative, how to use ...

A talk from the AI/ML session at RSECon23 at Swansea University, on 2023-09-05. Programme link: ...

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give ...

Today we'll learn about the extraordinarily powerful and widely useful technique of generative models. These are models that ...

A surprising result in deep learning is that models created from totally different types of data, such as text and images, can learn to ...

This Python 3 tutorial course aims to teach everyone the basics of programming computers using Python. The course has no ...

We asked in the last lesson whether “Memory Networks” lives up to the publicity it received when it came out, and came to the ...

This video is part of the virtual useR! 2020 conference. Find supplementary material on our website https://user2020.r-project.org/.

I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible.

... Sourcing Overview (5.2) - Coding Overview (5.3) - Math Overview (5.4) - Statistics Overview (5.5) - Machine Learning Overview ...

Web scraping is a method used to extract data from websites. It involves programmatically downloading web pages and parsing ...

RubyConf 2016 - Dōmo arigatō, Mr. Roboto: Machine Learning with Ruby by Eric Weinstein Machine learning is a popular and ...

This video in our Ecological Forecasting lecture series features Barbara Han introducing the basic concepts and approaches to ...

In this first lesson, we learn about what deep learning is, and how it's connected to machine learning, and regular computer ...

Python is a high-level programming language that is leveraged in a wide range of disciplines and fields. This webinar training ...

BIDS Data Science Lecture Series | March 11, 2016 | 1:10-2:30 p.m. | 190 Doe Library, UC Berkeley Speaker: Erin LeDell, ...

1:10:33 - The first neural network - Mark I Perceptron (1957) 1:12:38 - Machine learning models at a high level 1:18:27 ...

00:00 Introduction and survey 01:36 "Lesson 0" How to fast.ai 02:25 How to do a fastai lesson 04:28 How to not self-study 05:28 ...

00:00 - Neural net from scratch 04:46 - Parameters in PyTorch 07:42 - Embedding from scratch 12:21 - Embedding interpretation ...