Laurence Moroney AI and Machine Learning for Coders Reviews Summary

Great summary of machine learning

Good walkthroughs and explanations

Covers various aspects of TensorFlow

Explains neural networks at a high level

Discusses interpretability and bias/fairness

Covers NLP coding and embedding models

Clear explanations of convolutions and maxpooling

Provides practical examples for computer vision, NLP, and time series data

Python code is poorly written

Assumes running in Google Colab

Links to datasets no longer work

Not basic enough for new learners

Lacks explanation of 'why' behind topics

Focuses mainly on TensorFlow and ANNs

Doesn't cover wider ecosystem of AI tooling

Not enough coverage of principles and algorithms behind AI