Enterprise #MachineLearning requires all this:
1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API
9. #MLOps Guess what?… @AbacusAI platform provides all this capability for you
@kirkdborne
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Enterprise Machine Learning: Complete Platform Solution with AbacusAI
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Four Hot Areas for AI in Financial Services
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See this @PureStorage article "Four Hot Areas for #AI in Financial Services" at https://
blog.purestorage.com/solutions/four
-hot-areas-for-ai-in-financial-services/
… #Finance #Fintech Learn how AI is revolutionizing customer experience and retention, algorithmic trading, credit approval, fraud detection, & more. You will also find a link -
Discover Abacus AI for Enterprise AI and Machine Learning Solutions
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Have you explored @AbacusAI yet? You should!
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Start at https://
abacus.ai — Examine their products, services, platform, & innovations! You will be amazed and eager to start using them for all your Enterprise needs: #AI, #DataScience #MachineLearning, #DeepLearning, #MLOps -
Crypto Alliance Aims to Develop Safe AGI Away from Big Tech
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Creating ‘good’ AGI that won’t kill us all — that’s the goal of Crypto’s Artificial Superintelligence Alliance. SingularityNET and the Alliance aim to wrest control of AGI away from Big Tech. — from @Cointelegraph https://
cointelegraph.com/magazine/creat
ing-good-agi-that-wont-kill-us-all-with-crypto-artificial-superintelligence-alliance/
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Recent MDPI Informatics Journal Issue Features Data Science and AI Research
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Check out the research articles in the recent issue of the @MDPIOpenAccess #INFORMATICS Journal @InformaticsMDPI :: https://
mdpi.com/2227-9709/11/1
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#DataScience #AI #MachineLearning -
AB Testing versus Causal Inference: Key Differences and Applications
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AB Testing vs. Causal Inference Source and learn more here: https://
datainterview.com/courses/ab-tes
ting-interview
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DS 101 Course Outline: Machine Learning Modeling Theory and Practice
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𝗗𝗦 𝟭𝟬𝟭 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝘂𝘁𝗹𝗶𝗻𝗲: https://
aiplus.odsc.com/courses/ds-101
-machine-learning-modelling-in-theory-practice
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Module 1: -Training Overview and Data Science Preliminaries
-Introduction to Modeling Concepts
-Supervised vs. Unsupervised Modeling Module 2: -Insights Discovery and Generalization
-Supervised -
Hands-On Introduction to Machine Learning Guide
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Hands-On Introduction to #MachineLearning: http://
amzn.to/497o4bP ————
#NeuralNetworks #BigData #Analytics #DataScience #DataScientists #AI #DeepLearning #Coding #Rstats #Python #ML -
Practical Machine Learning for Computer Vision End-to-End ML
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Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: http://
amzn.to/4ajfVSf
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#BigData #DataScience #AI #DeepLearning #ML #IoT #IIoT #Edge #EdgeComputing #EdgeAI #AnomalyDetection #ObjectDetection #Algorithms #NeuralNetworks #DataScientists #Industry40 -
Abacus AI Case Studies: Enterprise-Scale Machine Learning Platform
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Explore @AbacusAI Case Studies — see how their #AI platform handles all aspects of #MachineLearning & #DeepLearning at enterprise scale: https://
abacus.ai/casestudies #DataScience #PredictiveAnalytics #AnomalyDetection #ComputerVision #LLMs #LLMOps #MLOps https://
abacus.ai/about