Archive

Hey folks 🎉

my computer is set up in my new flats and I’m hunting for a new couch and other furniture. But that doesn’t stop us from some amazing machine learning!

The Latest Fashion

• ConvNets for the 2020s is a new paper that shows little tweaks to CNNs to outperform transformers without using attention!

• I love improving science communication. This Latex package enables annotating equations within the document.

• PDFs about data science interviews are popular on Linkedin, now a book about deep learning interviews has made it to Arxiv for free.

Hey folks 🎉

I moved to Germany on New Year’s Day. Since everything in Germany works a bit slower, I will only get internet next week. But my limited consumption of awesome machine learning shall not hold us back. To the links!

The Latest Fashion

• Most Kagglers post their winning solutions but it can be difficult to sift through these posts. Lucky for us there’s a website aggregating solution posts!

• Rule-based learning can be extremely finicky but powerful and interpretable! Paypal open-sourced Iguanas for this application!

• Understanding transformers is essential for modern-day deep learning. Brandon Rohrer published a Transformers from Scratch post.

Hey folks 🎉

2022 is almost over. It had its highs for me, but I am SO ready for a new year. Thank you for being here, writing this newsletter has been a highlight every week!

You can start the year off with these awesome finds!

The Latest Fashion

Hey folks 🎉

it’s the festive season in the corner of my world, so almost everyone is on break now. Welcome to all the new people from Ian’s newsletter, glad to have you!

Let’s have some fun projects right on Christmas!

The Latest Fashion

Hey folks 🎉

this newsletter contains many things you can build yourself, but luckily this issue is already fully assembled.

The Latest Fashion

• I love playing around with Github Codepilot, but Huggingface 🤗 show you how to build your own Codeparrot🦜

• I shared the distill.pub intro to Graph Neural Networks before, and many have mentioned it was a bit confusing. This article tries to rectify this with the true introduction to GNNs for Novices.

• Regardless of whether you participate in Advent of Code, this error log from Matt Harrison is a genius idea that will increase your learning exponentially.

Hey folks 🎉

Today we have some fun festive art and some goodbyes in data science and I finally got back into some writing. So let's indulge!

The Latest Fashion

• Generative art is a ton of fun. Currently, Wombo Art is making the rounds on Twitter and it now has a Festive setting too. I'd love to see yours, I shared mine here.

• The chief editor of KDNuggets Gregory Piatetsky-Shapiro is stepping down after over 28 years of bringing data science insights to us. Not empty-handed but with extra nuggets in his personal history of KDNuggets.

• This keynote about scikit-learn by Gaël Varoquaux was very insightful (and only 20 minutes).

Hey folks 🎉

we back baby! Apologies for missing last week, I hope you can avoid the 2021 cold going around. But we have some great machine learning coming up and Advent of Code is back on too! Let's dive right in.

The Latest Fashion

• Time-series data can be tricky to deal with. TSAI implements regressors, classifiers and forecaster with a zoo of methods!

• Github projects and generally open-source tools can vary wildly in their quality. With Stethoscope you get a red-light green-light Chrome extension for repo health!

• At this point, everyone has seen the images with small Chihuahuas and blueberry muffins bamboozling both AI and humans. This dataset has a collection of naturally adversarial objects.

Hey folks 🎉

I caught a bad cold this week, so this will be a shorter issue.

The Latest Fashion

• Transformers are eating the world. Visual transformers are eating computer vision, but which transformer does what? This survey of methods is a great overview for the confused, like me!

• I have a love-hate relationship with MatPlotLib. The interface is so clunky, but it does give you all the fine-grained control. Here's a scientific visualization cookbook to make your lives easier!

• Online machine learning is a difficult topic. The library River makes working with streaming data easier. How could I resist a nice punny library?!

Hey folks 🎉

what a nice week finishing out Ship30 and getting back into work. Our machine learning challenge finished out, so there's lots to do. Let's dive into some more ML, though!

The Latest Fashion

• This gentle introduction to Graph Neural Networks is a neat start to understanding machine learning for connected data.

• I love black. But barging into an existing project and pushing a 10,000+ line pull request is generally frowned upon. Try darker to incrementally improve existing code projects!

• I have a disdain for cheat sheets, but I think I'll make an exception for this 130-page "cheat sheet", or as some would call it, "book" to look up different machine learning definitions.

Hey folks 🎉

Greetings from the sun! But machine learning never sleeps. It still has nightmares from Deepdream.

The Latest Fashion

• A bunch of other people and I just got access to Github Copilot. Maybe it's your time to request access too?

• The authors of this short paper integrated Huggingface deep-learning models into the open-source audio processing tool Audacity!

• The deadline to nominate fellows for the Python Software Foundation is approaching. Nominate someone you know who advanced Python and the community.

Hey folks 🎉

how was your week? Here it has been anticipation for the Pydata conference and some neat tricks for neural network training. Let's dive in!

The Latest Fashion

• Pydata Global is in full swing. The keynote by David Beasly was very entertaining. Not too late to join, as my talks are on Saturday!

• You can identify difficult samples in neural network training by monitoring the variance of gradients during training! Such a neat idea.

• This unassuming list contains a ton of interviews with machine learning practitioners.

Hey folks 🎉

a lot has happened after the last episode. Let's talk about machine learning!

The Latest Fashion

• Dirty cat is a machine learning library for fuzzy variable encoding by Gaël Varoquaux. This deals with high cardinality categories and definitely something you should check out!

• Morningbrew interview Margret Mitchell and it was very interesting.

• I love minimalist design maps. You can create them in Python now using prettymaps.

Hey folks 🎉

what an eventful week! I've been writing every day and it kicked my mind in overdrive. I reconnected with some lovely people and just booked some vacation.

Just as positive, here's some great machine learning!

The Latest Fashion

Hey folks 🎉

I've been having a great week. I was watching a lot of the new Battlefield 2042 demo. Also, been applying for apartments, and it's nice to imagine yourself in a new place. This week is a nice mixed bag of different gems. Let's dive right in!

The Latest Fashion

• Proplot is a Python library to reduce the boilerplate for plot options, providing sane defaults with a simple ax.format(title="Awesome Plot", ...) . Love it!

• Data scientists shouldn't need to know Kubernetes is a wonderful article by Chip Huyen talking about the increasingly ludicrous expectations for data scientists to be more than end-to-end and goes into detail about what Airflow and Kubeflow even are. A must-read even if you're not a data scientist.

• This Nature paper describes how machine learning identifies the extent of the arctic ice shield with high accuracy and lower compute cost than existing methods.

Hey folks 🎉

the giveaway is done. I've had some time off. Life's good! Here's some machine learning!

The Latest Fashion

• Deepmind made the news publishing a collaborative effort on nowcasting with the Met Office.

• The FDA has cleared the first machine learning system to spot cancer.

• Since we're so deep in the physical realm today, here's a fantastic Python library that can help you with your meters, feet, Celsius and Kelvin. (Seriously it's very good.)

Hey folks 🎉

a bit of a shorter issue today to take care of my mental health. Some really great gems I found anyways! Hope you enjoy.

The Latest Fashion

• A few things happened, causing a mass exodus of employees in tech. Great chance for you to get a raise internally or maybe externally. McKinsey explores the Great Attrition.

• Personally, I'm a huge fan of pandas. Many people aren't. The library can be slow and some of the defaults are entirely unintuitive. Polars aims to be a blazingly fast pandas alternative.

• I love interpretable and explainable AI. Shap has made everyone's life so much easier. I just found Alibi another library with a variety of methods for explainability, even counterfactuals!

Hey folks 🎉

I've had an intense week, finishing a big talk just in time. The giveaway now has over 2000 entries and I'm so happy about it. Can't wait to see what people will do with the prizes. But let's talk machine learning!

The Latest Fashion

• Physics and deep learning are an interesting mix. This free open book gives a pretty thorough overview of the topic. Find the PDF on Arxiv.

• Getting a job at FAANG can gild your CV but it's equally as hard to do. Here's a comprehensive interview prep guide to software-focused FAANG interviews. (Make no mistake that includes machine learning.)

• I 💚 reproducibility. In machine learning, this can be very hard to do, given all that stochasticity and overfitting. This Nature paper suggests a Bronze/Silver/Gold-tier reproducibility standard for ML.

Hey folks 🎉

I currently have non-stop presentations at work from everyone what they've worked on for the past year. It is so awe-inspiring that each individual contributes to the numerical weather predictions we serve to the EU. I'm amazed (and tired). So here's some light-hearted machine learning!

The Latest Fashion

• Freecodecamp have reached their donation goal for the new Data Science curriculum! Very happy to have contributed. Well done you, if you have too!

• Did you think little boxes playing volleyball is cute? Check out this reinforcement learning project for volleyball because it is 100% cute!

• How could I not share the Tesla AI day presentation? Always interesting to see what has to happen to make a car drive.

• Bonus link because it just came out: the 2021 DeepMind x UCL deep reinforcement lectures were just uploaded.

Hey folks 🎉

what a week! The anniversary issue last week was a blast, looking through a year of serving this community. The giveaway is going strong as well. Some exciting things are going on in machine learning. Let's dive right in!

The Latest Fashion

Hey folks 🎉

This newsletter is now one year old! So let’s take this issue to look back on a year full of machine learning motivation, data science dabbling, and Python programming.

In this anniversary edition, I will share the most popular links from the last year. See what the community was interested in and what you may have missed before joining!

Hey folks 🎉

this week we have some large-scale studies on with huge extent in research and possibly in impact. Let’s dive right in!

The Latest Fashion

Hey folks 🎉

I’ve had some serious trouble sleeping this week, so this will be a shorter issue. Still, we have some amazing machine learning stuff coming out! Check it out!

The Latest Fashion

Hey folks 🎉

I’m slowly beginning to get a grasp at work! So that’s a great development. Loads of cool stuff happening, did you get a chance to check up my latest update on my website? Anyways, let’s talk machine learning!

The Latest Fashion

Hey folks 🎉

it’s been a wildcard week for me. Got a vaccine and a bit of a reaction. Regardless, published a lot of things and been hard at work. So overall a win! Let’s talk machine learning!

The Latest Fashion

Hey folks 🎉

it’s my birthday week! So I’ve actually taken a few days off from my new job to chill and recoup. Learning 20 new things every day is quite taxing, so this break is more than welcome. Nevertheless, there are some great things happening!

The Latest Fashion

Hey folks 🎉

What a week! We have three bangers coming in. So excited for these developments!

The Latest Fashion

Hey folks 🎉

Ah, a day late. Happy weekend everyone! Here’s some cool stuff from the week!

The Latest Fashion

Hey folks 🎉

It’s been a week of ups and downs for me. Leaving my old team wasn’t easy, but interesting things lie ahead!

The Latest Fashion

• Github announced their collaboration with OpenAI to bring Copilot to VSCode, and it seems incredible. Writing automatic code, test, and documentation - the dream. Read more here.
• The Huggingface community directly got on it to reproduce an open-source version of Copilot.
• Deep Learning on tabular data can be quite interesting, with a lot of specialized architectures proposed. This paper proposes that proper regularization supersedes most tricks they use.
• This blog post on How to deploy ML models using FastAPI was very insightful.

Hey folks 🎉

big things ahead! You heard it here first, I just quit my job! More below. Right after some machine learning awesomeness.

The Latest Fashion

Hey folks 🎉

I’m slowly gearing up for CVPR. Quite excited for the talks coming up! So let’s dive right in!

The Latest Fashion

Hey folks 🎉

I’ve had a lovely week so far. Some good progress at work, some meetings with cool people and the first time back to the gym. I hope yours was at least half as good! Let’s look at some ML!

The Latest Fashion

Hey folks 🎉

I’m back from my vacation. It’s the first time I left the city in 14 months and my mental health has been improved by leagues. So back to what I’ve found rumaging the depths of the internet!

The Latest Fashion

Hey folks 🎉

Lockdown is slowly easing here in Scotland! I am so excited and the vaccines are also continouosly rolling out, so there’s hope I’ll be in line soon!

The Latest Fashion

Hey folks 🎉

This week has been a bit up and down here in Scotland. Waiting for the sun to get back out maybe. How are you?

The Latest Fashion

Hey folks 🎉

It looks like between crypto and rising vaccination rates, some places see some optimism, while India is struggling severely under another wave of the plague. Please consider helping out. I’m still waiting for my turn to feel safer again, and finally be in line for the vaccine. Covid fatigue has me a little exhausted, but regardless, let’s look at cool stuff!

The Latest Fashion

Hey folks 🎉

I’ve been struggling a lot with anxiety this week. Nevertheless, some cool stuff floats around the internet so let’s dive in!

The Latest Fashion

• The Scikit-Learn MOOC officially launched and it’s still free!
• Numpy now has a tutorial repository too. So much free education!
• This “proto-book” (or 150-page arXiv preprint) about geometric machine learning will show you all the things you didn’t know you didn’t know about deep learning.
• And here’s a bonus one because I’m a day late: Facebook Research just open-sourced their DINO models, a self-supervised vision transformer that is truly mindblowing.

Hey folks 🎉

this is such a lovely weather this week. I hope you had a good one and enjoyed some time outside!

The Latest Fashion

Hey folks 🎉

it’s been such a lovely week! Hope you had a good one too!

The Latest Fashion

Hey folks 🎉

I hope you had a great Easter or at least a few days off! Back to the regularly scheduled emails! Love that spring is coming, I got some nice flowers and the first bees visiting too.

The Latest Fashion

• Data Describe is a Python library that makes exploratory data analysis easier.
• Anyone play DnD? Chimera painter is a GAN-based monster generator and is a lot of fun to play with.
• Pytorch is a delight to work with especially with all the additional libraries you find. Kornia is a differentiable computer vision library you might want to check out!

Hey folks 🎉

after my last newsletter, a lot of you reached out about your own and my mental health struggles. Thanks so much! This week has a little of everything. I hope you’ll find something for yourself!

The Latest Fashion

Hey folks 🎉

apologies for the delay! I had a week of migraine last week, so writing a new issue was out of the question. But now we’re fresh into a new one. I hope your March is going well! Let’s jump right in.

The Latest Fashion

Hey folks 🎉

it’s the week after my time off, so how have you been enjoying the first real sunny days this year? This newsletter is a birthday issue!

The Latest Fashion

Hey folks 🎉

I’ve finally had some time off after my defence and the official notice came in that I’m officially Dr. Dramsch! So that’s pretty big. How is your weekend going?

The Latest Fashion

Hey folks 🎉

it snowed here and the world is much less grey. Loving it. I’ve been spending a lot of time outside just enjoying the powdery gloriousness. Also I’m off work next week, finally recovering from my PhD defence, so that’s great! How’s the weather in your place?

The Latest Fashion

Hey folks 🎉

this week has been a bit of a rollercoaster for me. My new course on Skillshare gained a lot of attention with over 70 students already and more than a day of watch time, but the lockdown has me going mad. Nevertheless, here are some gems I dug up. Enjoy!

The Latest Fashion

Hey folks 🎉

another newsletter this week?! Is it Christmas? Or is it possibly just me trying to get back to sending the newsletter on Fridays? Yeah it’s that one. Nevertheless, today is a good one! Definitely check out the sort algorithm viz, I love that stuff.

The Latest Fashion

Hey folks 🎉

Friday was a big day. I succesfully defended my PhD! So I took the weekend off after and probably had the most relaxing weekend in years. How is your start into 2021 going?

The Latest Fashion

Hey folks 🎉

2020 took another week to finish up, so I took another week to get back on track as well. But here we are 2021 is alive and kicking!

Thanks for sharing this newsletter with your colleagues and friends in 2020! We’re now almost 50 people strong and it feels really great to see so many people around!

The Latest Fashion

Hey folks 🎉

where was the newsletter?

I have to be honest here, I burnt out. Between handing in the PhD thesis, multiple deadlines at work and the cool projects I want to work on, I simply couldn’t keep going. Apologies for missing one and almost missing one newsletter, it’s looking up, especially with the holiday break coming up. How have you been doing? Any zoom holiday parties planned?

I’ll keep it short and sweet this time with mostly my favorite links.

Hey folks 🎉

ah, I finally had some vacation and completely missed the Friday issue. In such an eventful week at that!

The Latest Fashion