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
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Building Neo4j-Powered Applications with LLMs and AI Frameworks
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Predictive Statistics: Analysis and Inference Beyond Models
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Predictive #Statistics — Analysis and #Inference beyond Models: http://
amzn.to/49TYu9v ————— #Probability #DataScience #Mathematics #MachineLearning #StatisticalLearning #ML #PredictiveAnalytics #Forecasting #Mathematics #DataScientist -
Deep Learning Applications in Physics Research and Data Science
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#DeepLearning for #Physics Research: http://
amzn.to/3ubQWQG
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#DataScientist #AI #MachineLearning #ML #NeuralNetworks #ComputerVision #ObjectDetection #DataScience #ResearchData -
Data Storytelling with Altair and AI for Python
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Data Storytelling: http://
amzn.to/3TYx24Z Summary: Data Storytelling with Altair (statistical visualization library for Python) and AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then -
Building AI Agents with LLMs, RAG, and 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 -
Fine-tuning AI and RAG for Enterprise Knowledge Integration
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Fine-tuning your AI with your company’s knowledge = more useful results. Retrieval-Augmented Generation (RAG) gives LLMs access to real-time, domain-specific data—grounding outputs in truth, not just training.
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Testing Language Models for SQL Query Generation
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Gemini 2.0 Flash, 2.5 Pro etc. Source: https://
medium.com/codex/i-tested
-the-best-language-models-for-sql-query-generation-google-wins-hands-down-42d29fc8e37e
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Lakeflow: Unified Data Engineering Platform by Databricks
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Get under the hood of Lakeflow: unified data engineering across ingestion, transformation, and orchestration. Michael Armbrust, Distinguished Engineer at Databricks, walks through the main components of Lakeflow and how they work – Lakeflow Connect: efficient data ingestion
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ITOT.Academy: Preparing Enterprises to Be Data-First
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“It’s not about one team replacing the other — it’s about preparing enterprises to be truly data-first.”
— Lucian Fogoros (@fogoros) 21 juillet 2025
Discover why now was the perfect moment to launch the https://t.co/8NVpZcYOsx, straight from David Ariens.
▶️ Watch the full interview: https://t.co/9BovC4a20G #ITOTInsider… pic.twitter.com/iuEKR3m1VR“It’s not about one team replacing the other — it’s about preparing enterprises to be truly data-first.”
Discover why now was the perfect moment to launch the http://
ITOT.Academy, straight from David Ariens. Watch the full interview: https://
buff.ly/pr07QZG #ITOTInsider -
Model training without understanding mathematics or data flow
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have no idea about math. i train the model don't understand what goes in and out 🙂