Graph Data Modeling with #Python — A practical guide to curating, analyzing, and modeling data with graphs: http://
amzn.to/3PYxCPF v/ @PacktPublishing ————
#DataScience #BigData #GraphDB #LinkedData #AI #MachineLearning #Coding #DataScientist #GraphAnalytics
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Graph Data Modeling with Python: Practical Guide for Data Analysis
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Graph Neural Networks Foundations Frontiers Applications Python
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"Graph #NeuralNetworks — Foundations, Frontiers, and Applications" at http://
amzn.to/3AAzrdv
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Do it with #Python: http://
amzn.to/3Oj2QiG
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#Coding #DataScience #DataScientist #GraphDB #LinkedData #KnowledgeGraph #AI #MachineLearning #DeepLearning #Algorithms -
Interpretable Machine Learning with Python: New 606-Page Book
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"Interpretable #MachineLearning with #Python: Build high-performance models with hands-on, real-world examples" (2nd Edition) incredible 606-page new book from @PacktPublishing
: http://
amzn.to/463U79Y by @smasis —————
#AI #ML #Inference #DataScience #DataScientist #Coding -
Causal Inference in Python by Matheus Facure
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"Causal #Inference in #Python" at http://
amzn.to/3QphLtB by @MatheusFacure ——————
#Coding #AI #Analytics #DataScience #Statistics #MachineLearning #DataScientist #ORMS #PredictiveAnalytics #PrescriptiveAnalytics -
Causal Inference and Discovery in Python Code Repository
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See the Code Repository for “Causal #Inference and Discovery in #Python” at https://
github.com/PacktPublishin
g/Causal-Inference-and-Discovery-in-Python
… v/ @PacktPublishing Get book here: http://
amzn.to/3PyFE1d
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#Statistics #AI #MachineLearning #DataScience #DataScientist #Coding #PrescriptiveAnalytics #PredictiveAnalytics -
Pretraining Vision and Large Language Models in Python on AWS
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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 v/ @PacktPublishing ————
#AI #MachineLearning #DeepLearning #MLOps #BigData #DataScience #NLProc #ComputerVision #DataScientist -
Grok API Enterprise Launch with Improved Models and Pricing
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API access A month ago, we launched the public beta of our enterprise API with grok-beta and grok-vision-beta. We’re adding grok-2-1212 and grok-2-vision-1212, offering better accuracy, instruction-following, and multilingual capabilities. Pricing is now $2/1M input tokens and
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SCHED_FIFO Linux Scheduling vs CUDA Stream Priorities
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I love SCHED_FIFO on Linux not being wish-washy about scheduling — if a higher priority can run, it preempts anything lower Right Now, and it won’t stop until it yields, or something even higher takes it. CUDA stream priorities are more like traditional OS priority hints. Better
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Balancing Natural Language Instructions with Deterministic Code Logic
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Agreed, I think there's a balance needed between language-based instructions, and deterministic logic/code. We've been developing ideas along these lines! Check out @Lutra_AI