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Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications (Kindle Edition)
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Linear Algebra and Learning from Data (Hardcover)
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Machine Learning Refined: Foundations, Algorithms, and Applications (Hardcover)
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Exploring Modeling with Data and Differential Equations Using R (Unknown Binding)
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Algorithmic Learning in a Random World (Hardcover)
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Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
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Natural Language Processing with Transformers: Building Language Applications with Hugging Face (Paperback)
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The AI Playbook: Mastering the Rare Art of Machine Learning Deployment (Hardcover)
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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)
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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)
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The Seven Pillars of Statistical Wisdom (Paperback)
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A Digital Signal Processing Primer: With Applications to Digital Audio and Computer Music (Paperback)
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Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning (Kindle Edition)
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
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Supervised Machine Learning for Science: How to stop worrying and love your black box (Kindle Edition)
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Interpreting Machine Learning Models With SHAP: A Guide With Python Examples And Theory On Shapley Values (Paperback)
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Why Machines Learn: The Elegant Math Behind Modern AI (Hardcover)
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Unraveling principal component analysis: A long-form guide through the mathematical fundamentals of data science and machine learning (Paperback)
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more (Paperback)
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Causal Inference in Python: Applying Causal Inference in the Tech Industry (Paperback)
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Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples (Kindle Edition)
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Introduction To Conformal Prediction With Python: A Short Guide For Quantifying Uncertainty Of Machine Learning Models (Paperback)
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Understanding Deep Learning (Kindle Edition)
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Thinking About Statistics: The Philosophical Foundations (Kindle Edition)
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Practical Linear Algebra for Data Science (Kindle Edition)
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Mike X. Cohen
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The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics (Kindle Edition)
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Mathematics of Machine Learning (Unknown Binding)
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Tivadar Danka
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Modeling Mindsets: The Many Cultures Of Learning From Data (ebook)
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Interpretable Machine Learning: A Guide For Making Black Box Models Explainable (Kindle Edition)
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Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning (Hardcover)
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Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks (Paperback)
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The Effect (Paperback)
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Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples (Kindle Edition)
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Linear Algebra: Theory, Intuition, Code (Kindle Edition)
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Statistics with R: Solving Problems Using Real-World Data (Paperback)
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Jenine K Harris