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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Add to BasketDeveloping Apps with GPT-4 and ChatGPT : Build Intelligent Chatbots, Content Generators, and More
Olivier Caelen
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Add to BasketBuilding Knowledge Graphs : A Practitioner's Guide
Jesus Barrasa
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Add to BasketLlms and Generative AI for Healthcare : The Next Frontier
Kerrie Holley
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Machine Learning for Physics and Astronomy
Viviana Acquaviva
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Add to BasketAzure 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 Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure : A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure
Kristen Kehrer
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Machine Learning for Factor Investing : Python Version
Guillaume Coqueret
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Bayesian Filtering and Smoothing
Simo (Aalto University, Finland) Sarkka
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Add to BasketExploring the Power of ChatGPT : Applications, Techniques, and Implications
Eric Sarrion
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Add to BasketMachine Learning in Manufacturing : Quality 4.0 and the Zero Defects Vision
Carlos A. (Research scientist, School of Engineering and Scie Escobar
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Add to BasketLarge Language Model-Based Solutions : How to Deliver Value with Cost-Effective Generative AI Applications
Shreyas Subramanian
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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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Add to BasketComputational Tools for Energy Harvesting Applications
Abhishek (Research Associate Ariel University, Israel) Sharma
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Decision Making Models : A Perspective of Fuzzy Logic and Machine Learning
Tofigh (Full Professor, Istinye University, Istanbul, T Allahviranloo
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Applications of Deep Machine Learning in Future Energy Systems
Mohammad-Hassan (Department of Engineering - Cyper-Physical S Khooban
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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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Modern Graph Theory Algorithms with Python : Harness the power of graph algorithms and real-world network applications using Python
Colleen M. Farrelly
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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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