Machine Learning
1297 Threads
This used to be me when I was first learning linear regression. π But here's what's changed for me. #rstats https://t.co/WdNImyN02W
If you find models like #dalle impressive because they can communicate across modalities like - using text caption to generate images. Follow this 𧡠to learn how you can build you...
Everyone says that deploying machine learning models is important. But nobody ever talks about what it takes. Deploying is not a button that you push or a function that you call....
Hi Data Scientists, I'm hosting a free training on Geospatial Analysis in #R. Here's what I want to do for you. #rstats https://t.co/l8OiIYqPNA
Do you still use standard ML evaluation metrics to convince your client (or boss) that your ML model works? Good luck π There are more convincing ways to test ML models in the re...
New tutorial! "Differentiable Finite State Machines" - using JAX and gradient descent to learn discrete state machines from input-output string pairs https://t.co/w8GzxJzpC8 https:...
20 questions to practice for machine learning interviews. These questions focus mostly on neural networks. They cover some fundamental concepts you should know. β
i've hinted at this before -- @rogarcia_sanz and i are writing a paper on ML deployment practices. we're looking to interview more women-identifying practitioners who have deployed...
I did some DS & TL-ed DS projects. My answer: it's like what I imagine is an apprenticeship. Most classroom knowledge goes out the window, I traded import tf/pytorch for an intimat...
You dont have to change jobs to start a career in Machine Learning π€. You can try creating a role at your current job RIGHT NOW. Even if you don't have a job, you can apply the sam...
You train a classification model with 10,000 images of shoes. Everything works wonderfully. The next Sunday, somebody releases a new pair of sneakers. Your model has never seen t...
Want to Succeed Doing ML in the Real World? π Three challenges and tips in another mega 𧡠#freelancing #datascience #machinelearning #realworldml
Microsoft have free courses in data science & machine learning using python...𧩠All free via GitHub...
This used to be me when I was first learning linear regression. π But here's what's changed for me. #rstats #datascience https://t.co/eMWU2XMROn
You don't need to be a machine learning expert to build end-to-end machine learning pipelines. It's just a matter of finding the right framework. Here are six of them. π
Automating Machine Learning (AutoML) is one of my secrets for becoming a better data scientist. Hereβs why. 𧡠#rstats #python #datascience https://t.co/ORZ4Aic1hh
Why everyone's talking about @OpenAI GPT-3? π€ Some π€― facts about the #gpt3 economy - 100+ #startups powered by #gpt3 - 10k+ demos created by the #community - 100k+ empowered #c...
How do you solve Machine Learning problems in the real world? 4 practical tips in a mega 𧡠1/e^X #machinelearning #datascience #jobadvice #deeplearning
How did a startup became a Data Analyst? π€ π― Let's learn more about it from @techwraith, founder and CEO of @askviable. This is a part of the startup ecosystem discussion for o...
Universities don't teach you this: There are stark differences between academia and industry roles. Every data scientist and machine learning professional I know had to find out...
@Code_Quinn No problem! Here is a short thread about this: Lets say you have a camera, this will be your "ML model". Your camera has certain parameters you can set, like focus and...
Most people think that starting with machine learning is hard. That's just not true. Here are a few recommendations that will get you through the first month. These helped me, s...
Working on problems is the best way to learn machine learning. Here are 10 projects to start your journey: β
Machine Learning internships are known to be tough due to company preference towards PhDs and high competition. After applying to 80+ companies, I managed to secure 3 ML internshi...
