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Mathematics for Machine Learning
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| 2 |
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Deep Learning
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Nonlinear Programming
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
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4.53 avg rating — 17 ratings
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Independent Component Analysis
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Fundamentals of Convex Analysis
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it was amazing 5.00 avg rating — 5 ratings
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Support Vector Machines
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Theory of Probability
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Convex Optimization Theory
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4.33 avg rating — 9 ratings
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4.20 avg rating — 10 ratings
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Convex Analysis
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Handbook of the History of Logic, Volume 10: Inductive Logic
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4.75 avg rating — 4 ratings
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Probability via Expectation
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4.33 avg rating — 6 ratings
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Observation and Experiment: An Introduction to Causal Inference
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Numerical Linear Algebra and Applications
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4.19 avg rating — 21 ratings
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
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4.24 avg rating — 68 ratings
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Numerical Linear Algebra
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Introduction to Machine Learning with Python: A guide for Data Scientists
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4.33 avg rating — 595 ratings
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
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4.26 avg rating — 151 ratings
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Bayesian Data Analysis
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4.21 avg rating — 539 ratings
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