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Reading List
My personal library of knowledge - a curated collection spanning statistics, machine learning, finance, and software architecture.
Reading
Statistics
by George Casella & Roger L. Berger
Statistical Inference
A comprehensive guide to statistical inference, covering probability theory, estimation, hypothesis testing, and more.
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Reading
Statistics
by Bain & Engelhardt
Introduction to Probability and Mathematical Statistics
A comprehensive guide to probability and mathematical statistics, covering probability theory, estimation, hypothesis testing, and more.
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Reading
Machine Learning
by Aurélien Géron
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
A comprehensive guide to machine learning, covering probability theory, estimation, hypothesis testing, and more.
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Planned
Finance
by CFA Institute
CFA Program Curriculum Level 1 Volume 1: Quantitative Methods
A comprehensive guide to the CFA Program Curriculum Volume 1 Level 1.
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Planned
Software Architecture
by Martin Kleppmann
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency...
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3 Currently Reading•2 Planned