Advanced Lessons

Google Made a Time Crystal That Defies Physics

Pause Your Facebook Ads Over Christmas?

Example Seminar Discussion (CMS.S63 Playful Augmented Reality Audio Design Exploration)

Bike Share Demand Forecasting

Hitomezashi Stitch Patterns - Numberphile

The Best Facebook Ad Placements To Use

The Not So Talked About Reasons Model Monitoring Fails // Oren Razon // MLOps Meetup #88

Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541

Sparse is Enough in Scaling Transformers (aka Terraformer) | ML Research Paper Explained

2022 OSCP EXAM CHANGES - Goodbye Buffer Overflow, Hello Active Directory

State's Responsibility for Historical Injustices before International Institutions / Courts

A law of robustness and the importance of overparametrization in deep learning

Is Meat Really that Bad?

Inside the James Webb Space Telescope’s Orbit Around the Sun

Witness Numbers (and the truthful 1,662,803) - Numberphile

Model Monitoring: The Million Dollar Problem // Loka Team // MLOps Meetup #87

Oxford Space Series - Season 1 Summary

Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev)

How to Rank High On Google for Your Best Keyword

Google Ads Household Income Targeting

Why the Toilet Needs an Upgrade | WIRED

Supercharge your PyTorch training loop with 🤗 Accelerate

Avoid Accidental Clicks On Your Facebook Ads!

When To Use The Facebook REACH Objective

Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539

The Next Generation of Nuclear Power Is Here

On Race and Technoculture

Oxford University Centre for Corporate Reputation - Virtual Reputation Symposium 2021

Don’t Use This Facebook Ads CTA!

Aligning Time Series on Incomparable Spaces

Learning Rate Grafting: Transferability of Optimizer Tuning (Machine Learning Research Paper Review)

Facebook Ads: Optimization For Ad Delivery — Which is Best?

[ML News] Cedille French Language Model | YOU Search Engine | AI Finds Profitable MEME TOKENS

Facebook Traffic Campaigns — Change AUDIENCE SIZE!

Infinitely Many Touching Circles - Numberphile

How to Train a Model with Pytorch

Facebook (Meta) & The METAVERSE — What it means for advertisers...

The Post processing step in Question Answering (TensorFlow)

Using a debugger in a notebook

Why are fast tokenizers called fast?

The Post processing step in Question Answering (PyTorch)

What to do when you get an error?

Inside the Token classification pipeline (TensorFlow)

Using a custom loss function

Debugging the Training Pipeline (TensorFlow)

Inside the Question answering pipeline (TensorFlow)

Data processing for Masked Language Modeling

Inside the Question answering pipeline (PyTorch)