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Information Theory, Inference, and Learning Algorithms (Paperback)
By:
David J.C. MacKay
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Before Machine Learning Volume 1 - Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Inteligence. (Kindle Edition)
By:
Jorge Brasil
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Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)
By:
Max Kuhn
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Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples (Kindle Edition)
By:
Serg Masís
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Why Machines Learn: The Elegant Math Behind Modern AI (Hardcover)
By:
Anil Ananthaswamy
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Fundamentals of Music Processing: Audio, Analysis, Algorithms, Applications (Hardcover)
By:
Meinhard Müller
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Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
By:
Andreas C. Müller
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Linear Algebra and Learning from Data (Hardcover)
By:
Gilbert Strang
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
By:
Larry Wasserman
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Hands-On Generative AI with Transformers and Diffusion Models (Paperback)
By:
Omar Sanseviero
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Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation (Kindle Edition)
By:
Tarek A. Atwan
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Physical Audio Signal Processing: for Virtual Musical Instruments and Digital Audio Effects (Paperback)
By:
Julius O. Smith III
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
By:
Richard S. Sutton
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Bayesian Analysis with Python: Click here to enter text. (Kindle Edition)
By:
Osvaldo Martin
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Forecasting: principles and practice (Paperback)
By:
Rob J. Hyndman
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Introduction To Conformal Prediction With Python: A Short Guide For Quantifying Uncertainty Of Machine Learning Models (Paperback)
By:
Christoph Molnar
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Machine Learning (McGraw-Hill International Editions Computer Science Series)
By:
Tom M. Mitchell
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Interpreting Machine Learning Models With SHAP: A Guide With Python Examples And Theory On Shapley Values (Paperback)
By:
Christoph Molnar
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Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
By:
Jake VanderPlas
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Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning (Kindle Edition)
By:
Tivadar Danka
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
By:
Trevor Hastie
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The Dark Art of Linear Algebra: An Intuitive Geometric Approach (Paperback)
By:
Seth Braver
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Build a Large Language Model (From Scratch)
By:
Sebastian Raschka
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Causal Inference: The Mixtape (ebook)
By:
Scott Cunningham
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Machine Learning Refined: Foundations, Algorithms, and Applications (Hardcover)
By:
Jeremy Watt
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Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD (Paperback)
By:
Jeremy Howard
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The Computer Music Tutorial (Paperback)
By:
Curtis Roads
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Understanding Analysis (Undergraduate Texts in Mathematics)
By:
Stephen Abbott
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Deep Learning with Python (Paperback)
By:
François Chollet
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
By:
Gareth James
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Applied Predictive Modeling (Hardcover)
By:
Max Kuhn
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Digital Signal Processing: A Practical Guide for Engineers and Scientists (Paperback)
By:
Steven W. Smith
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Interpretable Machine Learning (Unknown Binding)
By:
Christoph Molnar
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The Seven Pillars of Statistical Wisdom (Paperback)
By:
Stephen M. Stigler
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Audio Processes (Paperback)
By:
D.J. Creasey
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Supervised Machine Learning for Science: How to stop worrying and love your black box (Kindle Edition)
By:
Christoph Molnar
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Statistical Models: Theory and Practice (Paperback)
By:
David Freedman
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Understanding Deep Learning (Kindle Edition)
By:
Simon J.D. Prince
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Introduction to Probability for Data Science (Hardcover)
By:
Stanley Chan
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Interpretable Machine Learning: A Guide For Making Black Box Models Explainable (Kindle Edition)
By:
Christoph Molnar
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Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning (Paperback)
By:
Delip Rao
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (Paperback)
By:
Valliappa Lakshmanan
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Linear Algebra Done Right (Undergraduate Texts in Mathematics)
By:
Sheldon Axler
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Deep Learning from Scratch: Building with Python from First Principles (Paperback)
By:
Seth Weidman
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How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library)
By:
George Pólya
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Thinking About Statistics: The Philosophical Foundations (Kindle Edition)
By:
Jun Otsuka
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The AI Playbook: Mastering the Rare Art of Machine Learning Deployment (Hardcover)
By:
Eric Siegel
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Hands-On Gradient Boosting with XGBoost and scikit-learn: Perform accessible machine learning and extreme gradient boosting with Python (Kindle Edition)
By:
Corey Wade