Learn both how to build and how to ship #ML models into production >> "Building #MachineLearning Powered Applications — Going from Idea to Product": http://
amzn.to/38aaWTG by @mlpowered —————
#DataScience #AI #DataScientist #MLOps
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Building and Shipping Machine Learning Models to Production
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Handbook of Data Science and AI: Generate Value from Data
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The Handbook of #DataScience and #AI — Generate Value from Data with #MachineLearning and Data #Analytics: http://
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#DataScientist #ML #DataStrategy #AnalyticsStrategy #DataLeadership #Datapreneurship #Datapreneur @LeadershipData #CDO #CMO #CTO #CAIO #Startups -
Agent-Based Modelling and GIS: A Practical Primer Guide
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"Agent-Based Modelling and Geographical Information Systems: A Practical Primer (#GeoSpatial Analytics and #GIS)" http://
amzn.to/3b26CK9
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#DataScience #AI #ComputationalScience #SocialScience #AgentBasedModeling #NetworkScience #SpatialAnalysis #Simulation -
Football Analytics with Python and R for Data Science Learning
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(*AMERICAN*) Football #Analytics with #Python and R — Learning #DataScience Through the Lens of Sports: http://
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#DataScientist #SportsAnalytics #AI #ML #MachineLearning #PredictiveAnalytics #CDO #CMO -
Custom Event Tracking for Feature Analytics in Lovable
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Have Lovable code up custom events that can be tracked related to using a specific feature. That way people will be able to see what features are actually being effective for the users. Even better if it is feature uses per user. Just ask the AI: "Track ____ in analytics"
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Implicit Feedback Mechanisms in AI Model Training Systems
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TikTok fyp is a textbook example here. How fast you swipe, how long you watch…feedback cues you can get (and learn from) way more often than explicit thumbs up/down or those 'what did you think of this' post-video surveys
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Context Drives Generative AI Revolution Through RAG and Knowledge Graphs
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#Context is fueling and boosting the current Generative #AI revolution! See these books:
> https://
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> https://
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#RAG #LLMs #GenAI #DataScience #MachineLearning #Semantics #KnowledgeGraphs #IoT #InternetOfContext -
Building Neo4j-Powered Applications with LLMs and Haystack
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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 https://
amzn.to/4l9lLKO -
Gemini Agent Mode may enable file storage operations
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Images generated by Gemini in Agent Mode will potentially go into a dedicated folder.
— 🚨 AI News | TestingCatalog (@testingcatalog) 11 juillet 2025
Does it mean that the Gemini Agent will be able to operate with file storage to complete its tasks?
Big if true 👀 https://t.co/fPzvilA0xl pic.twitter.com/nIP91qfPXFImages generated by Gemini in Agent Mode will potentially go into a dedicated folder. Does it mean that the Gemini Agent will be able to operate with file storage to complete its tasks? Big if true
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Typical AI Web Scraping Examples and Use Cases
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Interesting. what's a typical example of scraping you do with AI?