Azure OpenAI Service for Cloud Native Applications : Designing, Planning, and Implementing Generative AI Solutions
Adrian Gonzalez Sanchez
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Building Knowledge Graphs : A Practitioner's Guide
Jesus Barrasa
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Probabilistic Machine Learning for Finance and Investing : A Primer to the Next Generation of AI with Python
Deepak K. Kanungo
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Machine Learning for Physics and Astronomy
Viviana Acquaviva
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Graph-Powered Analytics and Machine Learning with TigerGraph : Driving Business Outcomes with Connected Data
Ph.D., Victor Lee
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Scaling Python with Dask : From Data Science to Machine Learning
Holden Karau
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Data Science: The Hard Parts : Techniques for Excelling at Data Science
Daniel Vaughan
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Low-Code AI : A Practical Project-Driven Introduction to Machine Learning
Gwendolyne Stripling
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Deep Learning : Foundations and Concepts
Christopher M. Bishop
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Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing
Michael Robbins
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Model-Based Machine Learning
John (Microsoft Research Ltd., Cambridge, United Kingdom) Winn
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Predictive Analytics for the Modern Enterprise : A Practitioner's Guide to Designing and Implementing Solutions
Nooruddin Abbas Ali
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Data Science for the Geosciences
Lijing (Stanford University, California) Wang
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Exploring the Power of ChatGPT : Applications, Techniques, and Implications
Eric Sarrion
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Bayesian Filtering and Smoothing
Simo (Aalto University, Finland) Sarkka
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A Brief History of Intelligence : Why the Evolution of the Brain Holds the Key to the Future of AI
Max Bennett
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Machine Learning for Factor Investing : Python Version
Guillaume Coqueret
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Ensemble Methods for Machine Learning
Gautam Kunapuli
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Evolutionary Deep Learning
Micheal Lanham
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Artificial Intelligence: A Guide for Everyone
Arshad Khan
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Machine Learning with Noisy Labels : Definitions, Theory, Techniques and Solutions
Gustavo (Professor of AI and Machine Learning, Centre for Vi Carneiro
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