What is machine learning?
Machine learning is a branch of artificial intelligence focusing on the training of statistical models and algorithms that can automatically improve their performance by discovering and retaining patterns these models observe in data (i.e., "learning"). In practice, this means being very accurate at prediction.
This focus on prediction differentiates machine learning from traditional statistical inference in important ways. Machine learning also uses different words than traditional statistics to describe the same thing (e.g., "features" instead of "variables").
Check out the links below to learn more about machine learning, what it's capable of, and how it differs from traditional research methods.
Introductory materials:
Scikit-Learn
Recommended: Scikit-Learn Coding Examples & A Gentle Introduction to Scikit-Learn
TensorFlow
Website: https://www.tensorflow.org/
Recommended: TensorFlow Coding Examples
Keras
Website: https://keras.io/
Recommended: Keras Coding Examples
PyTorch
Website: https://pytorch.org/
Recommended: Practical Deep Learning for Coders Course by fast.ai (Free!)
Deep Learning AI Course (TensorFlow)
Coursera Courses
Free Learning Resources
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