Packt Data Science & Machine Learning

[Packt Data Science & Machine Learning @PacktDataML]

Build real intuition through colourful, hands-on puzzles instead of boring theory. It helps you see what’s happening under the hood, which means better debugging, stronger model intuition, and sharper fundamentals.

Linear algebra, but actually fun.

#math #ml #data #DataScience

[Packt Data Science & Machine Learning @PacktDataML]

🚀 LLM agents too slow and unpredictable? Join Ben Auffarth on Oct 30 to build low-latency, reliable AI workflows on CPUs using ModernBERT, conformal prediction & LangGraph. No GPUs needed! https://t.co/LKq01gLCJb Save 35% with NL35 | Register now!

[Packt Data Science & Machine Learning @PacktDataML]

@benji1a 🤖 Take RAG from demo to production with hybrid retrieval, reranking, RAGAS, benchmarking, self-checking, and guardrails. Build with Ben on Aug 29 and save 45% with OMEM45. https://t.co/F5oQvKx4jc

[Packt Data Science & Machine Learning @PacktDataML]

🤖 Take RAG from demo to production with hybrid retrieval, reranking, RAGAS, benchmarking, self-checking, and guardrails. Build with Ben on Aug 29 and save 45% with OMEM45. https://t.co/F5oQvKx4jc

[Ben Auffarth @benji1a]

Your #RAG demo just works but does it survive production?

4-hour hands-on build lab, Sat 29 Aug: production RAG on small open models. Hybrid retrieval, guardrails, benchmarks + cost.

👉 https://t.co/s2L79rOdX7

@packtdataml

[Packt Data Science & Machine Learning @PacktDataML]

Whether you're learning Python or building AI agents, this giveaway has you covered. 🚀

[Kirk Borne @KirkDBorne]

✨Community Giveaway, sponsored by @PacktPublishing @PacktDataML 🚀

Win 3 bestselling Python books from Packt Publishing — free entry, 5 winners, each receives the full set in both PDF and ePub formats: https://t.co/UL4o1Kxp8a

1) Python Illustrated — a visual, beginner-friendly intro to Python

2) Learn Model Context Protocol with Python — build agentic AI systems with MCP

3) Python Machine Learning By Example (4th Edition) — practical Machine Learning workflows

Bonus: if entries reach 1,500 by July 31, the prize pool doubles to 10 winners.
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#DataScience #MachineLearning #DataScientist #Coding #ML #AI

[Kirk Borne @KirkDBorne]

✨Community Giveaway, sponsored by @PacktPublishing @PacktDataML 🚀

Win 3 bestselling Python books from Packt Publishing — free entry, 5 winners, each receives the full set in both PDF and ePub formats: https://t.co/T3DB4XavG7

1) Python Illustrated — a visual, beginner-friendly intro to Python

2) Learn Model Context Protocol with Python — build agentic AI systems with MCP

3) Python Machine Learning By Example (4th Edition) — practical Machine Learning workflows

Bonus: if entries reach 1,500 by July 31, the prize pool doubles to 10 winners.
—————
#DataScience #MachineLearning #DataScientist #Coding #ML #AI

[Packt Data Science & Machine Learning @PacktDataML]

Stop chasing better prompts. Start building better data pipelines. Join Nikola Ilic's hands-on LLM Data Engineering workshop and save 35% with DATAPRO35 👉https://t.co/KP9oYMafwp #GenAI #RAG #Python

[Packt Data Science & Machine Learning @PacktDataML]

The future of GenAI isn't better prompts—it's better workflows. Learn how production-ready AI combines RAG, Python, APIs, and guardrails to solve real problems. 👇https://t.co/NhyzXbO6sB

[Data For Science @data4sci]

Tomorrow: Graph RAG workshop.

Build a knowledge graph chatbot from scratch. Live. With code you keep.

A few seats still open.

🔗 https://t.co/u02PZzrR9q

See you Saturday.

[Packt Data Science & Machine Learning @PacktDataML]

Building with Python this month? Win 3 must-read Python books—enter before July 31. 📚👇 https://t.co/mowTUMYZn9 #Python #MachineLearning #MCP

[Data For Science @data4sci]

Most Graph RAG tutorials hand you a pre-built graph.

Here's what actually goes into building one from raw text 🧵

[Data For Science @data4sci]

🔗 https://t.co/u02PZzrR9q

[Data For Science @data4sci]

4 days until my Graph RAG workshop.

Here's what you build in 3.5 hours:
→ Entity extractor from raw text
→ Coreference resolver
→ Relation extraction pipeline
→ Knowledge graph in NetworkX
→ Grounded LLM chatbot on top

Certificate included. Last chance at 40% off

[Packt Data Science & Machine Learning @PacktDataML]

Most corporate AI ethics talks just dodge accountability. AI leader Marijn Markus cuts through the hype to expose the reality of hallucinations and broken data infrastructure.

Read it here: https://t.co/z6qwrGm3fT

[Packt Data Science & Machine Learning @PacktDataML]

If your RAG struggles with multi-hop reasoning, corpus-wide insights, or explainability, it's time to look beyond vector search. 📖 [https://t.co/KAddXNnuUK] #GraphRAG #DataScience

[Packt Data Science & Machine Learning @PacktDataML]

🚀 Want to build LLM applications that are actually reliable in production?

Join our hands on virtual workshop to master DSPy, automated prompt optimization, evaluation workflows, and production ready LLM engineering.

Buy now: https://t.co/cOnq8ZdI2U

[Packt Data Science & Machine Learning @PacktDataML]

RAG gives AI access to the right knowledge, while CAG gives AI the right context. As enterprise AI evolves, success won't depend on what models know, but on how well they understand users, workflows, and decisions

#rag #machinelearning

[Data For Science @data4sci]

Multi-hop question: "What did the CEO of Company X's subsidiary do in 2019?"

Vector RAG: retrieves chunks about Company X. Struggles with the chain.

Knowledge graph: follows the ownership edge, finds the subsidiary, finds the CEO, finds the 2019 event.

[Packt Data Science & Machine Learning @PacktDataML]

From raw documents to production-ready RAG systems - master the engineering choices behind successful LLM applications.

Register now and claim your Early bird discount

Save your spot: https://t.co/qTd7AuBxHO

[Packt Data Science & Machine Learning @PacktDataML]

🤖 One of our peer teams at Packt is hosting a giveaway featuring three AI books. Thought it might be of interest to this community. 👉 Packt Monthly Giveaways - https://t.co/inBdxdVLFP

[Packt Data Science & Machine Learning @PacktDataML]

Move beyond traditional RAG and learn how to build AI applications that understand relationships, not just documents. Join this hands-on workshop and create a production-ready Graph RAG system from scratch.

Register here: https://t.co/qU5P36JNA2

#datascience #rag #data #tech