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Building Machine Learning Products: A Problem Well-Defined
In this post, we'll dig deeper into how to develop the requirements for a machine learning project when you're given a vague problem to solve.
product-management products systems-design machine-learning
Getting started with JAX (MLPs, CNNs & RNNs)
Learn the building blocks of JAX and use them to build some standard Deep Learning architectures (MLP, CNN, RNN, etc.).
jax xla autograd tpu
Generate Boolean (Yes/No) Questions From Any Content
Question generation algorithm trained on the BoolQ dataset using T5 text-to-text transformer model.
question-generation transformers huggingface t5
Build your first data warehouse with Airflow on GCP
What are the steps in building a data warehouse? What cloud technology should you use? How to use Airflow to orchestrate your pipeline?
airflow google-cloud-platforms data-warehouse production
Intro to Linear Algebra for Applied Machine Learning with Python
Intro to fundamental topics on linear algebra for machine learning with Numpy and Python. Suited for beginner/intermediate Lvl practitioners. Work in ...
linear-algebra math tutorial article
Deep Learning for Computer Vision
Special topics class on deep learning for computer vision from the University of Michigan taught by Justin Johnson.
computer-vision deep-learning course video
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
self-supervised-learning natural-language-processing tutorial article
A Visual Guide to Recurrent Layers in Keras
Understand how to use Recurrent Layers like RNN, GRU and LSTM in Keras with diagrams.
recurrent-neural-networks lstm keras tensorflow
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