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Robotics, Vision and Control: Fundamental Algorithms in Python (Springer Tracts in Advanced Robotics Book 146)
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Ruey S. Tsay
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Mathematical Methods in the Physical Sciences (Hardcover)
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Mary L. Boas
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The Feynman Lectures on Physics Vol 1 (Hardcover)
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Linear Algebra Done Right (Undergraduate Texts in Mathematics)
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Sheldon Axler
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Black Holes & Time Warps: Einstein's Outrageous Legacy (Paperback)
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Sean Carroll
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
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Natural Language Processing with Transformers: Building Language Applications with Hugging Face (Paperback)
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Probability: For the Enthusiastic Beginner (Kindle Edition)
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An Introduction to Modern Astrophysics (Hardcover)
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Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)
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Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
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Werner Krauth
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Poor Charlie's Almanack: The Wit and Wisdom of Charles T. Munger (Hardcover)
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Charles T. Munger
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High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play (Paperback)
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The Feynman Lectures on Physics Vol 3 (Hardcover)
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The Road to Reality: A Complete Guide to the Laws of the Universe (Vintage)
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Roger Penrose
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Bayesian Analysis with Python: Click here to enter text. (Kindle Edition)
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Astronomy: Principles and Practice (Paperback)
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High-Dimensional Probability: An Introduction with Applications in Data Science (Unknown Binding)
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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational Astronomy)
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Machine Learning for Algorithmic Trading: Predictive Models to Extract Signals from Market and Alternative Data for Systemic Trading Strategies with Python (Kindle Edition)
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An Introduction to Probability Theory and Its Applications, Volume 1 (Hardcover)
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William Feller
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch (Paperback)
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Stochastic Calculus Models for Finance II: Continuous Time Models (Springer Finance)
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Practical Linear Algebra for Data Science (Kindle Edition)
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