Machine Learning Q And Ai : 30 Essential Questions and Answers on Machine Learning and AI
Sebastian Raschka
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Dive into Deep Learning
Aston (Amazon Web Services) Zhang
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The Art Of Machine Learning : A Hands-On Guide to Machine Learning with R
Norman Matloff
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Azure OpenAI Service for Cloud Native Applications : Designing, Planning, and Implementing Generative AI Solutions
Adrian Gonzalez Sanchez
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Embedded Analytics : Integrating Analysis with the Business Workflow
Donald Farmer
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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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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Prof Max A. (Professor of Mathematics, Aston University, Profe Little
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AI Narratives : A History of Imaginative Thinking about Intelligent Machines
Stephen (Director, Leverhulme Centre for the Future of Intellige Cave
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The Machine Learning Solutions Architect Handbook : Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI
David Ping
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Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning
Margaux Masson-Forsythe
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A Machine Learning Technique for Estimating Cuffless Blood Pressure, Utilizing Voice Marker
Vaishali Shamsingh Rajput
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Analyzing Thunderstorm Incidences with Machine Learning and Meteorological Data
Kanchan Bala
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Detecting and Countering False Information through Incremental Learning Methodology
Yashoda Narayanprasad Barve
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Big Data : Statistics, Data Mining, Analytics, And Pattern Learning
Rob Botwright
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System Design Interview : Prepare And Pass
Rob Botwright
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Privacy-Preserving Machine Learning : Use cases driven approach to develop and protect machine learning pipelines from privacy and security threats
Srinivasa Rao Aravilli
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Large Language Model-Based Solutions : How to Deliver Value with Cost-Effective Generative AI Applications
Shreyas Subramanian
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Machine Learning for Cyber-Physical Systems : Selected papers from the International Conference ML4CPS 2023
Oliver Niggemann
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Reinforcement Learning for Reconfigurable Intelligent Surfaces : Assisted Wireless Communication Systems
Alice Faisal
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Manifold Learning : Model Reduction in Engineering
David Ryckelynck
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Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector
Vitor Joao Pereira Domingues Martinho
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Maschinelles Lernen fur Dummies
Jorn Fischer
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