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calls course22 “When you want the current fastai course instead of handson-ml.”
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
calls course22 “when you prefer the fast.ai practical deep learning course style over classical ML breadth.”
Open Machine Learning Course
calls course22 “Older fast.ai course notebooks; choose for a classic deep-learning course, not broad data science.”
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
calls course22 “Use it if you're following fast.ai video lectures and want practical notebooks, though it is several years old and narrower than the seed.”
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.