ML Fundamentals

DeepMind x UCL | Deep Learning Lectures | 12/12 | Responsible Innovation

DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models

MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky

Alligator Pears, Random Variables, and Gradient Descent

Oxford Saïd and the Education & Training Foundation's portfolio of leadership programmes

Robust Fit to Nature

Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Benchmarks for collaborative Machine Learning with Stacey Svetlichnaya

Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science

Model monitoring with Fury Data Apps at Mercado Libre

My Laptop Lenovo Legion Y 540 Performance After Using 1 Month

BERT Neural Network - EXPLAINED!

Neural Network from Scratch - Machine Learning Python

AI Weekly Update - April 27th, 2020 (#19)

SVM from Scratch - Machine Learning Python (Support Vector Machine)

Supervised Contrastive Learning

How do GPUs speed up Neural Network training?

Advanced Theory | Neural Style Transfer #4

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Inside TensorFlow: tf.data + tf.distribute

Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)

I'm Sorry Dave, I Can't Do That: Practical Machine Learning for Information Security | SANS@MIC Talk

First hour with a Kaggle Challenge

Who is the Sentdex Audience?

Women at DeepMind | Applying for Technical Roles

DeepMind x UCL | Deep Learning Lectures | 10/12 | Unsupervised Representation Learning

DeepMind x UCL | Deep Learning Lectures | 6/12 | Sequences and Recurrent Networks

DeepMind x UCL | Deep Learning Lectures | 3/12 | Convolutional Neural Networks for Image Recognition

DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI

DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning

DeepMind x UCL | Deep Learning Lectures | 2/12 | Neural Networks Foundations

ML platform Fury Data Apps at Mecado Libre

What parts of the mercado libre ML platforms are automatted

Litox View of the state of ML today

Fury Platform and Fury Data Apps at Mercado Libre

MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre

Training ML models on live datasets in a GDPR world

Surprising Utility of Surprise: Why ML Uses Negative Log Probabilities - Charles Frye

Naive Bayes from Scratch - Machine Learning Python

Pytorch LeNet implementation from scratch

How Linear Algebra is not like Algebra with Charles Frye

Testing Machine Learning Models with Eric Schles

Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

TensorFlow Extended (TF Dev Summit '20)

Scaling Tensorflow data processing with tf.data (TF Dev Summit '20)

Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20)

120GB of VRAM - Boxx Workstation review