Practical Guide to Oracle AI Engineering — Build intelligent apps with machine learning and AI across cloud and on-premises environments: https://
amzn.to/4fSRfFm via @PacktPublishing @PacktDataML
@kirkdborne
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A Guide Builds Oracle AI Applications Across Cloud and On-Premises Systems
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A Guide Covers MLOps on Google’s Vertex AI Platform
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The Definitive Guide to Google Vertex AI — Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices: https://
amzn.to/4g2eKup via @PacktPublishing @PacktDataML -
Practical Unsupervised Learning Finds Patterns Without Labels
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Insights Discovery from Data Without Labels — Practical Unsupervised Machine Learning: https://
amzn.to/4g3ezz0 via @ManningBooks -
A Python Guide Builds Machine Learning Models From Unlabeled Data
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Hands-On Unsupervised Learning Using Python — How to Build Applied Machine Learning Solutions from Unlabeled Data: https://
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A Guide Applies Clustering and Dimensionality Reduction to Unlabeled Data
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Kickstart Unsupervised Machine Learning — Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build Intelligent Real-World Applications: https://
amzn.to/4bFFpvD -
Machine Learning for Trading Covers Live Execution and Agent Workflows
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Must see the major updates in the new 3rd Edition of this amazing massive 826-page book! "Machine Learning for Trading — A disciplined workflow from research to live execution, with 9 case studies and AI agents" — https://
amzn.to/3TAZs8i by @ml4trading The author is -
Graph Machine Learning Guide Demonstrates PyTorch Geometric and DGL
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2nd Edition at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library -
A Guide Designs Production Generative AI Applications With LLMOps
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Highly rated new book from @PacktPublishing @PacktDataML … "Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices" See it at http://
amzn.to/3Pv4dyF -
A C++ Guide Deploys Neural Networks With CUDA
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Deep Learning with C++ — Design and deploy neural networks using CUDA for high-performance AI in C++ Get the book at http://
amzn.to/4nzdKB4 from @PacktPublishing @PacktDataML -
A Guide Builds Vector-Enabled AI Systems With PostgreSQL 18
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New! 580 pages. From @PacktPublishing @PacktDataML "AI-Ready PostgreSQL 18 – Building Intelligent Data Systems with Transactions, Analytics, and Vectors" Available at http://
amzn.to/3PZGuXm