GitHub Code Repository for “Causal #Inference and Discovery in #Python” — https://
github.com/PacktPublishin
g/Causal-Inference-and-Discovery-in-Python
… v/ @PacktDataML +
Get the book here: http://
amzn.to/3PyFE1d
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#Statistics #AI #MachineLearning #DataScience #DataScientist #PrescriptiveAnalytics #PredictiveAnalytics
@kirkdborne
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Causal Inference and Discovery in Python: GitHub Repository and Book
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Causal Inference in Python: Essential Guide for Data Scientists
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"Causal #Inference in #Python" at http://
amzn.to/3QphLtB by @MatheusFacure ——————
#Coding #AI #Analytics #DataScience #Statistics #MachineLearning #DataScientist #ORMS #PredictiveAnalytics #PrescriptiveAnalytics -
XGBoost 2: ML Confusion with LLM Terminology
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I rediscovered this interesting post from early 2024 by @OliverMolander on LinkedIn about XGBoost-based machine learning on Tabular Data: https://
linkedin.com/posts/olivermo
lander_xgboost-artificialintelligence-generativeai-activity-7170725771185975296-DqHm?utm_source=share&utm_medium=member_ios
… This is Oliver’s post (not mine):
————————————— "What's your thoughts on XGBoost 2?" "I've never heard of that LLM" -
Fooled by Statistical Randomness: Understanding Misleading Patterns
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Fooled by Statistical Randomness: https://
medium.com/p/cf6ea1311459 -
XGBoost for Regression: Predictive Modeling and Time Series
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XGBoost for Regression Predictive Modeling and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML —
My review: XGBoost is definitely the focal point and central contribution of this book, and also those -
New LLM Design Patterns Book for Building AI Systems
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New book from @PacktDataML >> "LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems" See it at http://
amzn.to/4nODl9a -
Building Neo4j-Powered Applications with LLMs New Book Release
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New book from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO -
New Book: Building AI Agents with LLMs, RAG, Knowledge Graphs
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New book from @PacktDataML >> "Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h -
AI Agents in Action: New Manning Book Release with Hands-On Experience
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Get this recent release from @ManningBooks >> “AI Agents in Action” at http://
amzn.to/44kbHsL Take a look inside the book here: https://
manning.com/books/ai-agent
s-in-action
… Gain hands-on experience in these areas: Understand and implement AI agent behavior patterns Design and deploy -
Learn Quantum Computing with Python and IBM Quantum Platform
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Learn #QuantumComputing with #Python and IBM Quantum — Write your own practical quantum programs with Python [2nd Edition]: http://
amzn.to/3F3PdlD v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Get familiar with the features within the IBM Quantum Platform Create