Tweet

Daniel Bourke

6 Jul, 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…

@chipro

2. Cracking the Machine Learning Interview

The wonderful @chipro has done it again with an outstanding book on the machine learning interview process.

Getting a job is a skill in itself.

Lucky you've now got Chip's book to help you.

• Read it free: huyenchip.com/ml-interviews-…

3. Hit me baby two more times

Two new Python time series libraries came out recently from Facebook and LinkedIn.

They include modules for:
• Forecasting
• Analysis
• Outlier detection

Kats by Facebook: github.com/facebookresear…
LinkedIn Greykite: github.com/linkedin/greyk…

These were just a little taste test.

There's more in the full article: zerotomastery.io/blog/machine-l…

As for the video version, well, you even get a little extra there (🕺):

• • •

Missing some Tweet in this thread? You can try to force a refresh

This Thread may be Removed Anytime!

Twitter may remove this content at anytime! Save it as PDF for later use!

More from @mrdbourke

Daniel Bourke

@mrdbourke

8 Jun

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...

@TensorFlow

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

• TensorFlow Hub gets a facelift, plus, now you can try pretrained models before you buy them (jk the models are free)

• TensorFlow Cloud library helps you scale up your smaller experiments to cloud-scale in a few lines of code (e.g. Google Colab -> 8 GPUs)

Read 10 tweets

Daniel Bourke

@mrdbourke

27 Apr

@marksaroufim

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.

https://twitter.com/marksaroufim/status/1386718728662884358

@roboflow

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.

Not to mention the memes throughout this post are worth their weight in gold.

This one describes perfectly describes my last 3 years online (except replace Twitter w/ YouTube).

Note for myself going forward: leverage product off media/community base.

Read 5 tweets

Daniel Bourke

@mrdbourke

31 Jul 20

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…

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.

3/ Although very colorful, at first glance, the map can be very intimidating.

So there's a video walkthrough to go along with it:

We start with a high level overview which answers questions like "what is machine learning good for?"