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Designing Large Language Model Applications: A Holistic Approach to LLMs (Paperback)
By:
Suhas Pai
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Practical Natural Language Processing: A Comprehensive Guide to Building Real-world NLP systems (Paperback)
By:
Sowmya Vajjala
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AI-Powered Search (Kindle Edition)
By:
Trey Grainger
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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images (Paperback)
By:
Valliappa Lakshmanan
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Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
By:
Aurélien Géron
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Numsense! Data Science for the Layman: No Math Added (Kindle Edition)
By:
Annalyn Ng
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Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
By:
Jake VanderPlas
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Hands-On Large Language Models: Language Understanding and Generation (Paperback)
By:
Jay Alammar
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
By:
Chip Huyen
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Python for Finance: Analyze Big Financial Data (Paperback)
By:
Yves Hilpisch
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Hadoop: The Definitive Guide (Paperback)
By:
Tom White
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Portfolio Choice Problems: An Introductory Survey of Single and Multiperiod Models (SpringerBriefs in Electrical and Computer Engineering)
By:
Nicolas Chapados
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Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return (Paperback)
By:
James Picerno
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Advances in Financial Machine Learning (Kindle Edition)
By:
Marcos López de Prado
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Kindle Edition)
By:
Hadley Wickham
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Effective Computation in Physics: Field Guide to Research with Python (Kindle Edition)
By:
Anthony Scopatz
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Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
By:
Andreas C. Müller
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Deep Learning (ebook)
By:
Ian Goodfellow
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Building Winning Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)
By:
Kevin J. Davey
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Practical Data Science with R (Paperback)
By:
Nina Zumel
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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (Paperback)
By:
Foster Provost
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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Paperback)
By:
Eric Siegel
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The Signal and the Noise: Why So Many Predictions Fail—But Some Don't (Hardcover)
By:
Nate Silver
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R in Action (Paperback)
By:
Robert Kabacoff
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Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS (Hardcover)
By:
John K. Kruschke
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Fuzzy Logic with Engineering Applications, Third Edition (Paperback)
By:
Timothy Ross
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Journey through Genius: The Great Theorems of Mathematics (Paperback)
By:
William Dunham
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Think Python (Paperback)
By:
Allen B. Downey