ML Fundamentals

Engineering Best Practices for Machine Learning // Alex Serban // MLOps Meetup #79

Estimators only print parameters that have been changed

Chris Albon — ML Models and Infrastructure at Wikimedia

Gies College of Business Webinar: From MOOCs to Master's

W&B Fastbook Reading Group — 15. Application Architectures Deep Dive

Build a Deep Facial Recognition App // Part 4 - Building a Siamese Neural Network // #Python

Load a toy dataset into a DataFrame

#71 Scaling Machine Learning Adoption: A Pragmatic Approach (with Noah Gift)

Jay McClelland: Neural Networks and the Emergence of Cognition | Lex Fridman Podcast #222

Career Gap and Now a Machine Learning Engineer At Sony

Introduction to Generative Adversarial Networks (Tutorial Recording at ISSDL 2021)

Talks S2E6 (Louise Ferbach): Deep Learning For Survival Analysis

Machine Learning Projects You NEVER Knew Existed

A Truly Unbiased Model

PyTorch Community Voices | PyTorch-Ignite | Victor Fomin

Learning Commonsense Understanding through Language and Vision

Douglas Lenat: Cyc and the Quest to Solve Common Sense Reasoning in AI | Lex Fridman Podcast #221

Change of Basis : Data Science Basics

Hugging Face + Zapier Demo Video

[Webinar] How to add machine learning capabilities with just a few lines of code

How to build machine learning models for imbalanced datasets

Moldable Development with Glamorous Toolkit // Tudor Gîrba // MLOps Meetup #77

Create Slow Motion Videos With AI - 2021 Results Highlights #shorts

Los ROBOTS de BOSTON DYNAMICS no FUNCIONAN como TÚ CREES...

Deep learning project end to end | Potato Disease Classification - 7 : Model Deployment To GCP

Calculus for ML - How much you should know to get started

Part 4- Developing UI To Select User image and displaying it in an Android app

Machine Learning Explained in 100 Seconds

DeepMind x UCL RL Lecture Series - Function Approximation [7/13]

PyTorch Community Voices | Catalyst| Sergey Kolesnikov

Part 2- Creating and Running a Hello World app in Android Studio

Running Simulations as a Data Scientist | Monte Carlo

Kaggle 30 Days of ML (Day 19) - Understanding SHAP Summary Plot - Interpretable Machine Learning

dabl - A Python library for AutoEDA and AutoML

Data Science Podcast with Tyler Richards (Facebook Data Scientist)

How Machine Learning uses Linear Algebra to solve data problems

Talks S2E4 (Lavanya Shukla): Reproducible machine learning at scale

PyTorch Book Reading - 4. Train your first CNN using Torch

Create an interactive diagram of a Pipeline in Jupyter

PyTorch Book Reading - 3. Train your first neural network

Deep learning project end to end | Potato Disease Classification - 6 : ImageDataGenerator API

W&B Fastbook Reading Group — 14. ResNet

Most parameters should be passed as keyword arguments

W&B Tables: Explore Language Data

Don't use .values when passing a pandas object to scikit-learn

PyTorch Book Reading - 2. Tensors, Autograd & NNs in PyTorch

Chai Time Kaggle Talks with Shahul ES & Vignesh Baskaran - Moving from 1100th to 40th place

Working through "What is torch.nn really?"