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Daniel Bourke Profile picture
Daniel Bourke
@mrdbourke
• Teaching Beginner-Friendly ML Courses @zerotomasteryio (https://t.co/SGxUchebqe) • Building ML @nutrifyfoodapp (https://t.co/T8DzQnU4sG)
Dec 3, 2024 • 12 tweets • 7 min read
New video: Tracking every item in my house with video using Google Gemini 🎥 -> 🛋️

I call it "KeepTrack" 😎

Input: 10-minute casual walk around video.
Output: Structured database w/ 70+ items.
Cost: ~$0.07 w/ caching, ~$0.10 w/o caching.

Full details... 🧵 TL;DR

Gemini features which make this possible:

1. Video processing.
2. Long context windows (video data = ~300 tokens per second, 10 minute video = 165,000 tokens).
3. Context caching (process inputs once, inference for 4x cheaper).

Prices are with Gemini 1.5 Flash. Bar chart comparing the total costs of using cached versus non-cached input tokens for processing a large video file three times. The cached method costs $0.0741937875, which is 17.46% cheaper than the non-cached method costing $0.08989155
Dec 10, 2021 • 7 tweets • 1 min read
If machine learning projects were a relationship...

Data collecting and processing is the dating phase, fun, chaotic, up and down, tormenting and carefree, seeing if you're a good fit.

Modelling is the wedding day, takes forever to plan, over before you know it. People using your model is the honeymoon.

Then comes the data drift.

Your data changes like the person you thought you married, maybe they're getting fat (distribution changes) or they're finding it hard to love you (your data features are no longer ideal).
Jul 6, 2021 • 5 tweets • 3 min read
Friends, the latest issue(s) of Machine Learning Monthly (June 2021) have been delivered beautifully to your inbox/YouTube subscription page.

Quick takes below. 1. Text-based Video Editing

This is wild.

Not too often things make me go "Woah".

This did.

I'd never even thought of this kind of editing.

Chop and change videos using pure text transcriptions.

• Project page: davidyao.me/projects/text2… Text-based video editing
Jun 8, 2021 • 10 tweets • 6 min read
Machine Learning Monthly for May 2021 is live (video & audio)!

The latest and greatest (but not always the latest) from the machine learning world in the past month + plenty of dancing.

This month we've got... Huuuuuuge updates to @TensorFlow:

• TensorFlow Lite models now work with TensorFlow.js (train once, deploy twice)

• Google's on-device machine learning page tailors ML guides for your smaller device needs

• TF Lite model maker library helps you train on-device models faster
Apr 27, 2021 • 5 tweets • 3 min read
Outstanding post by @marksaroufim

He put into words something I’ve been thinking but didn’t quite know why.

@huggingface & @weights_biases are two of my favourite ML companies.

Why?

Because like @fastdotai...

They create community. I’d also add @roboflow into the mix of my favourite up and coming ML companies.

People like people.

Roboflow are making things and sharing ideas directly from the engineers/founders.

It’s good to relate to the people behind the product.
Jul 31, 2020 • 13 tweets • 7 min read
1/ Introducing the 2020 #machinelearning roadmap:

An interactive mindmap which connects many (not all) of the most important concepts in machine learning.

Map: dbourke.link/mlmap
Video walkthrough:
Accompanying slides: github.com/mrdbourke/mach… machine learning mindmap th... 2/ In the map you'll find 5 branches:

1. 🤔 Problems - some of the main use cases for ML.
2. ♻️ Process - what does a solution look like?
3. 🛠 Tools - how can you build your solution?
4. 🧮 Math - ML is applied mathematics, what kind?
5. 📚 Resources - where to learn the above.