Machine Learning Q And Ai : 30 Essential Questions and Answers on Machine Learning and AI
Sebastian Raschka
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Add to BasketThe Art Of Machine Learning : A Hands-On Guide to Machine Learning with R
Norman Matloff
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Add to BasketDive into Deep Learning
Aston (Amazon Web Services) Zhang
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Azure OpenAI Service for Cloud Native Applications : Designing, Planning, and Implementing Generative AI Solutions
Adri?n Gonz?lez S?nchez
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Machine Learning for Physics and Astronomy
Viviana Acquaviva
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Add to BasketExploring the Power of ChatGPT : Applications, Techniques, and Implications
Eric Sarrion
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Add to BasketBayesian Filtering and Smoothing
Simo (Aalto University, Finland) Sarkka
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Add to BasketArtificial Intelligence: A Guide for Everyone
Arshad Khan
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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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Secrets Of Machine Learning: How It Works And What It Means For You
Tom (-) Kohn
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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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Maschinelles Lernen fur Dummies
Jorn Fischer
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Add to BasketActive 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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Machine Learning for Cyber-Physical Systems : Selected papers from the International Conference ML4CPS 2023
Oliver Niggemann
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Advances in Human Activity Detection and Recognition (HADR) Systems
Santosh Kumar Tripathy
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Reinforcement Learning for Reconfigurable Intelligent Surfaces : Assisted Wireless Communication Systems
Alice Faisal
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Optimizing AI and Machine Learning Solutions : Your ultimate guide to building high-impact ML/AI solutions
Mirza Rahim Baig
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Reinforcement Learning : Aktuelle Ansatze verstehen – mit Beispielen in Java und Greenfoot
Uwe Lorenz
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Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face
Prem Timsina
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Add to BasketLearn Data Science from Scratch : Mastering ML and NLP with Python in a step-by-step approach
Pratheerth Padman
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