TOPICS COVERED: Design patterns for solving real-world enterprise problems with LLMs Strategies for scaling and deploying LLMs in complex environments Fine-tuning & RAG techniques to boost performance and relevance Advanced inferencing, evaluation patterns &
DATA
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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://
amzn.to/46SZzNH
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#DataScientist #SportsAnalytics #AI #MachineLearning #ML #PredictiveAnalytics #DataStrategy #CDO #CMO -
Fraud Analytics Book: Data Science and Machine Learning Applications
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See this #FraudAnalytics book: http://
amzn.to/2rIXpyQ
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#DataScience #AI #TimeSeries #MachineLearning #NeuralNetworks #IoT #Fintech #Insurtech #EdgeComputing #AnomalyDetection -
Data and AI Strategy for Exponential Growth by Lillian Pierson
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Data & AI Imperative — Designing Strategies for Exponential Growth: http://
amzn.to/4afwA9J by @Strategy_Gal My review: “Lillian Pierson has collected her many years of insights gained working with data-drenched organizations who are trying to keep up with the data and AI -
Synthetic Data Translation: Tool-Calling LLMs Over Language Retraining
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If you can just trivially create synthetic data from one language to the other, then that's not a new concept of a programming language, just a remapping. No need to retrain the LLM, just use a tool-calling LLM.
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High School Mathematics Foundation for Data Science and Machine Learning
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High school #Mathematics — foundation for #DataScience and #MachineLearning →
http://
bit.ly/31x9U14
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#AI #ML #DataScientist #Calculus #LinearAlgebra #Probability #Statistics #Python
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Learn Beginning, Intermediate, and Advanced Calculus here: http://
amzn.to/3KFVOjG -
Data Processing Intelligence and Synthetic Learning in AI Algorithms
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Yes. First there’s still the need of processing the data intelligently, and data keeps growing (billions of videos per year). Second, many algorithms can exploit the environment and other agents to learn from growing synthetic data, eg DeepSeek-zero learning math.
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Databricks Virtual Learning Festival: Certifications and Labs Discounts
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The Databricks Virtual Learning Festival is back Oct 10–31! Choose a self-paced pathway in Customer Academy and complete it during the festival to unlock exclusive rewards including:
-50% off any Databricks Certification
-20% off an annual Academy Labs subscription Join us to -
Training Data Determines Model Behavior and Outputs
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More generally, it’s whatever is predominant in the training data.
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Time-Aligned Data Transforms Smart Grid Operations
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From Static to Synchronized: The Emerging Role of Time-Aligned Data in Grid Innovation
>> https://
buff.ly/DPKWE5j #sponsored #cratedb_iiot #GridStability #RealTimeData #SmartGridInnovation