Introducing MRSK: Deploy web apps anywhere from bare metal to cloud VMs using Docker with zero downtime. No need to brave running k8s yourself. This video builds an app from scratch and deploy to two different clouds in less than 20 mins!
Tuesday, February 28, 2023
Monday, February 27, 2023
Saturday, February 18, 2023
Wednesday, February 15, 2023
How to learn Machine Learning
https://twitter.com/machsci/status/1625569733126033408?s=21&t=Urcac12Ha89dnjd31vAAIg
https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/
https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html
https://twitter.com/jhoang314/status/1624829824782028806?s=21&t=Urcac12Ha89dnjd31vAAIg
https://www.ninoristeski.com/how-to-find-the-best-resources-on-machine-learning/
...
Start with tabular data and linear/logistic regression. Then grab lightgbm with automl, learn the common explainability methods and focus on anything BUT selecting an algorithm. When you got that, learn all other algorithms in and out and look for model innovations.
...
Just learn BigQuery and it's machine learning capabilities and read books alot and avoid youtube videos as much as possible.
...
Start with SQL, Python. Pick a popular ML library e.g. Sklearn, Keras, XGBoost and apply it to a dataset
...
Start by getting familiar with the fundamentals of machine learning, such as linear algebra, calculus and probability theory. Also read up on popular algorithms to get a better understanding of how they work.
...
Learn statistics and probability a lot of concepts require simple concepts from those fields, if you want to go a little further learn abstract geometry is going to allow you to learn about how nonlinear models implement hyperplanes.
Monday, February 13, 2023
Friday, February 3, 2023
Subscribe to:
Posts (Atom)