#MachineLearning for Streaming Data with #Python — build practical online Machine Learning solutions: http://
amzn.to/3OO9bjv
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#DataScience #AI #StreamAnalytics #EdgeComputing #Edge #EdgeAI #TimeSeries #IoT #IIoT #DataScientists #AnomalyDetection
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Machine Learning for Streaming Data with Python Online Solutions
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Forecasting Principles and Practice Third Edition by Hyndman
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"#Forecasting: Principles and Practice" (3rd edition) by Rob J Hyndman Read the complete book online here: http://
otexts.com/fpp3/
-or-
Get a print copy here: http://
amzn.to/3Khvr5K
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#DataScience #PredictiveModeling #TimeSeries #PredictiveAnalytics #MachineLearning #RStats -
Dataset Selection: An Underrated Skill in Modern AI Research
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An underrated but occasionally make-or-break skill in AI research (that didn’t really exist ten years ago) is the ability to find a dataset that actually exercises a new method you are working on. Back in the day when the bottleneck in AI was learning, many methods were
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Alteryx Workshop: Master Data Analytics Workflows in 2025
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Streamline your data game in 2025! Join @infolabUK
's virtual Alteryx workshop on Jan 16 for live demos, hands-on exercises & pro tips to turn messy workflows into meaningful insights. Sign up: https://
ow.ly/aAQ650Uznen #DataDriven #DataAnalytics -
Eight Dimensions of Data Quality for AI Machine Learning
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Understanding the eight dimensions of data quality https://
bit.ly/4gIQFaC
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
SAS Viya Workbench: Essential Programming Tool for Developers
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Find out why SAS Viya Workbench is @cjdinger
's new favorite tool for SAS programming work. -
RAG Search Approaches: Keyword vs Embedding Methods
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Here’s a quick rundown of the most popular (RAG) search approaches out there, plus tips on when they shine: • Keyword Search (e.g., BM25, BM42): Finds direct matches—great for straightforward data or well-defined keywords. • Embedding Search: Captures deeper semantics,
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Tracking Per-Token Loss to Measure Document Contribution in LLM Training
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It would be interesting if LLM training tracked the per-token loss back to the source material — it would be an objective measure of how much each specific book / document contributed to the training. Might say something useful for human learning!
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Rebalancing Power Between Data Controllers and Data Subjects
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Day 9 of #12DaysOfChristmas for The Atomic Human How can we rebalance power between data controllers and data subjects? For full story see: https://
the-atomic-human.ai/initiatives/da
ta-trusts/
… Or watch this 3-min explainer! -
Deploy Real-Time AI Models at Scale with Abacus Feature Store
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Easily deploy real-time #AI #DeepLearning and #MachineLearning models at scale with the @AbacusAI enterprise-class #ML FEATURE STORE that provides security, governance, and high SLAs: https://
abacus.ai/featurestore
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#DataScience #EnterpriseAI #MLOps #SQL #BigData #DataStrategy #CDO