Modern #GenerativeAI with #ChatGPT and #OpenAI Models — Leverage the capabilities of #LLMs for productivity and innovation: http://
amzn.to/43tyEG4 via @PacktPublishing —————
#AI #MachineLearning #DeepLearning #BigData #DataScience #NLProc #GPT3 #GPT4 #DataScientists
MACHINE LEARNING
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Leverage Generative AI with ChatGPT and OpenAI Models
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Tree and Graph Algorithms with Python for Data Science
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#Algorithms on Trees and Graphs (with #Python Code): http://
amzn.to/3IrmKWs
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#AI #MachineLearning #BigData #DataScience #RDF #LinkedData #GraphDB #GraphAnalytics #Semantics #KnowledgeGraphs #RAG #LLMs #DataStructures #DataScientists #Coding -
Quick Start Guide to Large Language Models: Strategies and Best Practices
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Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
amzn.to/4awUGN5
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#BigData #DataScience #AI #NLProc #GPT3 #GPT4 #GPT5 #NeuralNetworks #DeepLearning #MachineLearning #Algorithms #ArtificialIntelligence -
Vector Search Toolkit for NLP and RAG Solutions with Elastic
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Vector Search for Practitioners with Elastic — A toolkit for building #NLProc solutions for search, observability, and security: http://
amzn.to/3vEkWFe via @PacktPublishing ——
#DataScience #Analytics #DataScientists #MahineLearning #BigData #AI #VectorDB #RAG #LLMs #GenerativeAI -
Pretraining Vision Models and LLMs on AWS with Python
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Pretrain Vision and #LLMs (Large Language Models) in #Python — Techniques for building & deploying foundation models on #AWS: http://
amzn.to/3pT9seD via @PacktPublishing ————
#AI #MachineLearning #DeepLearning #MLOps #BigData #DataScience #NLProc #ComputerVision #DataScientists -
GPUs revolutionized Deep Learning research and development
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It started with researchers trying to use GPUs for Deep Learning, http://
robotics.stanford.edu/~ang/papers/ic
ml09-LargeScaleUnsupervisedDeepLearningGPU.pdf
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NVIDIA GPUs Deep Learning: From 2009 to $2T Market Cap
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Deep Learning with NVIDIA GPUs started way back in 2009 — this paper [1] from @AndrewYNg lab in 2009 was the first to introduce the idea. Through the last 15 years of progress with Deep Learning, @nvidia touched a market cap of $2T last week. I have memories of staring at lots
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Causal AI and Bayesian Networks: Essential Resources
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Causal #AI and Bayesian Networks (680-page PDF eBook): http://
web4.cs.ucl.ac.uk/staff/D.Barber
/textbook/240415.pdf
… See @yudapearl BOOK OF WHY: http://
amzn.to/3dRGjGo
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#BigData #IoT #DataScience #Statistics #AI #MachineLearning #LinkedData #Causality #NetworkScience #PredictiveAnalytics #PrescriptiveAnalytics -
Agent-Based Modeling and GIS: Practical Primer for Geospatial Analytics
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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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#BigData #DataScience #AI #ComputationalScience #SocialScience #AgentBasedModeling #NetworkScience #SpatialAnalysis -
5 Essential Graph Algorithms for Knowledge Graphs
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5 Graph #Algorithms to know (because #KnowledgeGraphs are the future = “all the world is a graph”): http://
bit.ly/2PEyOa8
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Great #NetworkScience book: http://
amzn.to/2WiJxff by @barabasi ————
#BigData #LinkedData #DataScience #Semantic #GraphDB #MachineLearning #AI #RAG #LLMs