#MachineLearning on Streaming Data with #Python ————
#IIoT #IoT #TimeSeries #AI #BigData #DataScience #EdgeComputing #Edge #EdgeAI #PredictiveAnalytics #StreamAnalytics #AnomalyDetection #Forecasting #Industry40 ———— http://
amzn.to/3EFK3Ki from @PacktPublishing
SYSTEMS
-
Machine Learning Streaming Data Python IoT Industrial Applications
By
–
-
Flowise App Growth Demands Higher CPU and RAM Resources
By
–
Flowise apps size has grown since we have been adding more integrations, hence requiring more CPU & RAM resources to install. You probably need Replit Core with higher resources to install it
-
Defining Computing Systems Through Finite State Automata Formalism
By
–
The terms are semantically loaded and seem to ambiguous to easily define them via first principles. “Class of systems that can be described via finite state automata” seems more elegant
-
Control Theory and Cybernetics: Technical Definitions Matter
By
–
Control is a technical term (as in control theory, cybernetics etc.). I don't think it's useful if you try to redefine it. Our inferential distance might be too large for meaningful discussion.
-
IoT Data Analytics with Python: Streaming and Predictive Insights
By
–
IoT Data #Analytics using #Python: https://
amzn.to/48hbaGM +
See my #IoT Streaming #DataAnalytics blog here: https://
medium.com/@kirk.borne/ho
w-iot-streaming-data-is-going-to-the-dogs-e485fc4a782c
…
——————
#Coding #BigData #DataScience #DataScientists #AI #MachineLearning #IIoT #Edge #EdgeComputing #TimeSeries #PredictiveAnalytics -
OS-Copilot Framework Builds Generalist Computer Agents
By
–
6/ OS-Copilot – a framework to build generalist computer agents that interface with key elements of an operating system like Linux or MacOS; it also proposes a self-improving embodied agent for automating general computer tasks.
-
Neural Networks and Entropy: Creating Order Through Learning
By
–
I agree with @DrJimFan.
— Nando de Freitas (@NandoDF) 18 février 2024
Life, with all its midblowing structure, is about creating order in a universe of increasing disorder, see e.g. https://t.co/GwK3AR94h4 for an easy intro. Like a cell, a neural network during training takes energy to minimise disorder, that is to predict… https://t.co/l9p5dsFjl7I agree with @DrJimFan
. Life, with all its midblowing structure, is about creating order in a universe of increasing disorder, see e.g. https://
newscientist.com/article/232382
0-is-life-the-result-of-the-laws-of-entropy/
… for an easy intro. Like a cell, a neural network during training takes energy to minimise disorder, that is to predict -
Scaling RAG Pipelines for Production Workloads
By
–
Scaling RAG for Production This tutorial provides an example of how you can develop a RAG pipeline with production workloads in mind from the start, using the right tools – ones that are designed to scale your application. Heavily uses Ray https://
hub.superlinked.com/scaling-rag-fo
r-production
… -
Fighting Rising Complexity With Strategic Hard Resets
By
–
complexity has a habit of only increasing over time, and thus must be fought each step of the way with occasional hard resets
-
Building Powerful LLM Systems: Web Search Integration and Scale
By
–
LLMs are very good at information retrieval and organization at scale. Systems that combine web search and LLMs make powerful tools that can educate us on any topic. Building a system is a non-trivial task featuring many complex components (see below for all of them). Platforms