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Title: Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition), Author: Nabanita Dash
Title: Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition), Author: Nabanita Dash
Title: Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps (English Edition), Author: Saurabh D. Dorle
Title: Ultimate MLOps for Machine Learning Models, Author: Saurabh D. Dorle
Title: Turing's Vision: How AI is Shaping the World, Author: Pietro Perconti Pre-Order Now
Title: The Little Learner: A Straight Line to Deep Learning, Author: Daniel P. Friedman
Title: The Art of Machine Learning: A Hands-On Guide to Machine Learning with R, Author: Norman Matloff
Title: The AI Pocketbook, Author: Emmanuel Maggiori Pre-Order Now
Title: TensorFlow Developer Certification Guide, Author: Patrick J
Title: TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models, Author: KC Tung
Title: Spark GraphX in Action, Author: Michael Malak
Title: Programming Machine Learning: From Coding to Deep Learning, Author: Paolo Perrotta
Title: Privacy-Preserving Machine Learning, Author: J. Morris Chang
Title: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition, Author: Valentine Fontama
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: MLOps Engineering at Scale, Author: Carl Osipov
Title: Math for Deep Learning: What You Need to Know to Understand Neural Networks, Author: Ronald T. Kneusel
Title: Managing Machine Learning Projects: From design to deployment, Author: Simon Thompson
Title: Machine Learning with TensorFlow, Second Edition, Author: Chris Mattmann
Title: Machine Learning with SAS Viya, Author: SAS Institute Inc.

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