Machine Learning for Time Series with Python — Forecast, predict, and detect anomalies with state-of-the-art ML methods: http://
amzn.to/3wrjXVv by @benji1a —————
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #EdgeAI #EdgeComputing
AUTOMATION
-
Book on ML for Time Series Forecasting and Anomaly Detection
By
–
-
Designing Machine Learning Systems – Iterative Process for Production
By
–
Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
amzn.to/46epLSi by @chipro — 𝓣𝓸𝓹𝓲𝓬𝓼:
Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, -
MCPs vs CLIs: Which to Use When Building Agents?
By
–
Should you use MCPs or CLIs when building agents? @BraceSproul + @jakebroekhuizen spill the tea. pic.twitter.com/BjeEvzgjiU
— LangChain (@LangChain) 26 juin 2026Should you use MCPs or CLIs when building agents? @BraceSproul + @jakebroekhuizen spill the tea.
-
Anthropic revolutionizes frontend design with AI
By
–
ANTHROPIC ACABA DE CAMBIAR CÓMO SE DISEÑA FRONTEND CON IA
— Nico (@nicos_ai) 26 juin 2026
Se llama frontend design, una skill oficial de anthropic.
El problema que resuelve es simple.
Cada vez que le pedías una web a la ia, salía lo mismo:
→ inter como fuente
→ gradiente morado
→ layout genérico de… pic.twitter.com/joapURSeKAANTHROPIC HAS JUST CHANGED THE WAY WE DESIGN FRONTEND WITH AI It's called frontend design, an official Anthropic skill. The problem it solves is simple. Every time you asked an AI for a website, it was always the same: → Inter like
-
AI agent delays shift from code to coordination as platforms converge
By
–
Enterprise platforms converge on data, models and orchestration layers. Choices on architecture now steer how fast AI agents act across processes, so delays shift from code to coordination. Source @Gartner_inc Link https://
gtnr.it/4tKg5vC via @antgrasso -
GoalOS Signoff Pro: Institutional Acceptance for AI Work
By
–
The AI era needs proof of work. GoalOS Signoff Pro is the institutional acceptance layer for AI-delivered work: mission briefs, evidence, review, human authorization, and signed receipts. Define done. Prove delivery. Preserve trust. Website: https://
montrealai.github.io/goalos-signoff
-pro/
… -
GoalOS Signoff Pro: Institutional Acceptance for AI-Delivered Work
By
–
The AI era needs proof of work. GoalOS Signoff Pro is the institutional acceptance layer for AI-delivered work: mission briefs, evidence, review, human authorization, and signed receipts. Define done. Prove delivery. Preserve trust. https://
montrealai.github.io/goalos-signoff
-pro/
… #MontrealAI -
GPT-5.6 Sol sets new state-of-the-art on Terminal-Bench 2.1
By
–
GPT‑5.6 Sol sets a new state of the art on Terminal‑Bench 2.1, which tests complex command-line workflows requiring planning, iteration, and tool coordination.
-
Guide to production-ready financial agents with strong oversight
By
–
Read the guide on how financial services teams are building production-ready agents with stronger oversight. https://
info.langchain.com/guide/definiti
ve-guide-to-financial-services-agents-in-production
…? -
Super Nori: Proactive Family AI Agent for Home Coordination
By
–
Everyone's betting the future of AI on autonomous agents for work and nobody is talking about what happens at home.
— Robert Scoble (@Scobleizer) 26 juin 2026
That's where Super Nori is heading. A Proactive Family AI Agent designed specifically around how messy and unstructured family coordination actually is instead of… https://t.co/OK8h10mV02 pic.twitter.com/Zaf2ohNDO5Everyone's betting the future of AI on autonomous agents for work and nobody is talking about what happens at home. That's where Super Nori is heading. A Proactive Family AI Agent designed specifically around how messy and unstructured family coordination actually is instead of