Learning Machine Learning Efficiently
👨💻 to get started with AI engineering, check out this Scrimba course: https://scrimba.com/the-ai-engineer-p...
Getting started learning machine learning can be daunting and difficult. In this video I show you my biased opinion on what the best process to learn machine learning looks like.
Table of Content
Introduction: 0:00
Landscape of ML: 0:52
Efficient Path for ML: 6:15
Perk of Most Efficient Path: 13:49
ML Plan: 18:33
Conclusion: 26:32
Here are a few resource to get you started on your journey!
Resource
Sklearn Tutorials: https://scikit-learn.org/stable/tutor...
Pandas Tutorials: https://pandas.pydata.org/pandas-docs...
Numpy Tutorials: https://numpy.org/devdocs/user/quicks...
Machine Learning with Sklearn Book: https://www.amazon.ca/Hands-Machine-L...
Andrew Ng. Mythical course: https://www.coursera.org/learn/machin...
Pytorch Tutorials (really good): https://pytorch.org/tutorials/
Tensorflow Tutorials: https://www.tensorflow.org/tutorials
Deep Learning with Pytorch: https://pytorch.org/deep-learning-wit...
Deep Learning Book: https://www.deeplearningbook.org/
Statistical Learning Book: https://web.stanford.edu/~hastie/Pape...
Khan Academy Math Curriculum: https://www.khanacademy.org/math
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