Machine Learning
1297 Threads
Update: I'm now working on ML tooling! When I did applied ML, it seemed like many tools I initially found interesting were divorced from the reality of data, ML, and systems. I do...
Here is an underrated machine learning technique that will give you important information about your data and model. Let's talk about learning curves. Grab your βοΈ and let's do t...
16 questions that I really like to ask during interviews for machine learning candidates. These will help you practice, but more importantly, they will help you think and find way...
Today, a tiny percentage of companies are currently using AI/ML at scale. Do you imagine the possibilities as this continues to grow? Who wants to be in the center of it all?
100+ Series for Machine Learning, Deep Learning, Programming and Data Science Enthusiast What's covered? - 100+ Free Machine Learning eBooks - 100+ Cheat Sheets for ML, Data Sci...
Let's talk about learning problems in machine learning: β«οΈ Supervised Learning β«οΈ Unsupervised Learning β«οΈ Reinforcement Learning And some hybrid approaches: β«οΈ Semi-Supervised...
You want to build a face recognition system for your office, but getting many pictures from your coworkers is not a choice. Also, having to retrain the model for every new employe...
25 popular libraries and frameworks for building machine and deep learning applications. Covering: β«οΈ Data analysis and processing β«οΈ Visualizations β«οΈ Computer Vision β«οΈ Natural...
My thoughts on baselines, a concept that is *extremely* relevant in industry ML but does not exactly translate from academic ML: 1/9
A collection of the most interesting threads I've written about machine learning. 𧡠x π§΅
Are you planning to learn Python for machine learning this year? Here's everything you need to get started. π§΅π
Today let's talk about why we keep "splitting the data" into different sets. Besides machine learning people being quirky, what else is going on here? Grab your coffee βοΈ, and le...
Machine Learning Formulas Explained π¨βπ« This is the formula for Mean Squared Error (MSE) as defined in WikiPedia. It represents a very simple concept, but may not be easy to read...
Here are the classes I took and the money I paid to get my Master's from Georgia Tech with a specialization in machine learning: π§΅π
I thought about this a lot when releasing ML APIs that include classification model outputs in the response. Example: individual probabilities may be hard to trust, but a calibrati...
Can you get a job in data science and machine learning without a college degree? π§΅π
#DataScience way! #Math 1 Statistics 2 Linear algebra 3 Differential calculus Web Scrapping 1 Beautiful soup 2 Scrapy 3 URLLIB #Programming Language 1 #Python 2 #R 3 #JAVA
The ML research ecosystem can be amazing. A few hours ago, I wondered: do pruned neural networks converge to high accuracies faster than the original networks? I'm sure I can find...
Everything you need to know about the math for machine learning as a beginner. π§΅π
I get asked fairly often, usually by science PhD students, about transitioning from academia to data science. Hereβs a thread of the things I say most often. π§΅
this is also applicable for those working in industry! some other things i've found to be helpful as a practitioner to keep up with ML literature: * pick subfields intentionally -...
Here's everything you need to know about the math for machine learning. (+ free resources ) π§΅π
Thrilled to see a NeurIPS 2020 paper that eeks out a bit more performance on benchmark image datasets by...removing mislabeled examples from the train set! "Identifying Mislabeled...
The most common question I get asked about Machine Learning on Twitter is : " Which machine learning frameworks do I need to learn at the start? " Let's find out π