Causal Inference with Bayesian Networks — Build Bayesian Networks and Causal Inference Models with R and Python: https://
link.amazon/B0eBs1svW This practical guide explores Bayesian networks, graphical models, and causal inference for probabilistic reasoning and treatment effect
@kirkdborne
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Guide Builds Bayesian Networks for Causal and Probabilistic Reasoning
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Guide Presents Thirty Production Agent Systems and Architectural Patterns
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: https://
link.amazon/B0aHazo1m v/ @PacktDataML —
What you will learn:
1️⃣Deploy production-ready agent systems that scale securely and reliably
2️⃣Use LangChain and -
Study Guide Covers Transformers and Large Language Models
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Super Study Guide: Transformers & Large Language Models: https://
amzn.to/3SW6YYm by @afshinea & @shervinea 🌟
Beautifully presented, excellent content, timely, thorough, educational
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#LLMs #MachineLearning #AI #GenAI #DataScience #DataScientist #GenerativeAI
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Language Models Book Offers Hands On PyTorch Material
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The Hundred-Page Language Models Book — Hands-on with PyTorch: https://
amzn.to/4sJl7YC by @burkov -
Finance LLM Guide Covers Agents, RAG, Governance and Evaluation
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Large Language Models in Finance — Hands-on guide to LLM architectures, agents, RAG, governance and evaluation in finance: https://
link.amazon/B0dM4HogS v/ @PacktPublishing 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
🟢Understand LLM foundations for financial applications
🟢Build financial -
LLM Textbook Connects Foundations With Production AI Applications
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Large Language Models — From Foundations to Production AI Applications [2nd Edition]: https://
link.amazon/B00XKggpm -
Deep Learning Guide Covers Neural Architectures With PyTorch and TensorFlow
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Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP) Get it here: https://
link.amazon/B0gPFIYcP -
ML Engineering Guide Covers Python and Practical MLOps Deployment
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Machine Learning Engineering with Python — Manage the lifecycle of machine learning models using MLOps with practical examples: https://
amzn.to/3QYTQAq 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
🟢Transform your machine learning projects into successful deployments with this practical guide on -
Multiagent Context Engineering Guide Develops Memory and Reasoning Architectures
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at https://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
🔵Develop memory models to retain short-term and -
Enterprise Generative AI Book Covers Context Aware Agents and Memory
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"Building Business-Ready Generative AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at https://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
🔵Implement an AI controller with a conversation AI agent and